None
**Instruments Affected**: MIRI, NIRCam
Tested on MIRI Simulated data
This notebook processes a set of images through calwebb_image2 and calwebb_image3 and examines the output table of the source_catalog step.
This test uses simulated MIRI F770W (options for F560W or F770W) data of a crowded star + galaxy field.
The pipeline documentation can be found here: https://jwst-pipeline.readthedocs.io/en/latest/jwst/source_catalog/main.html
The pipeline code is available on GitHub: https://github.com/spacetelescope/jwst
The algorithm and discussion for this step can be found at the following page:
https://outerspace.stsci.edu/display/JWSTCC/Vanilla+Point+Source+Catalog
The steps of this test are as follow:
1) Set up data path and directory and image files name.
2) Run output of calwebb_detector1 through calwebb_image2.
3) Run output of calwebb_image2 through calwebb_image3.
4) Read in output table of source_catalog step and print ecsv table
5) Display image and overplot detector sources from ecsv table.
6) Look at plots of total flux in Jy and AB mag.
7) Look for matches between expected source positions (RA and Dec) from simulated catalog to output from source_catalog.
8) Compare magnitudes and magnitude differences between input simulated catalog and output found sources.
The data used in this test consist of a set of four simulated images in the F770W filter of MIRI, at four different dither positions. The data have 4827 stars of varying flux levels and just over 200 galaxies in the image. The MIRI Image simulator (MIRISim) was used to create the simulations.
# Create a temporary directory to hold notebook output, and change the working directory to that directory.
from tempfile import TemporaryDirectory
import os
data_dir = TemporaryDirectory()
os.chdir(data_dir.name)
# For info, print out where the script is running
print("Running in {}".format(os.getcwd()))
Running in /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpw06u2kfo
The following packages are needed to enable this notebook to run:
#import pytest
import numpy as np
from glob import glob
import json
import matplotlib.pyplot as plt
import photutils
from astropy.io import fits, ascii
from astropy.coordinates import Angle
from astropy.table import Table, vstack, unique, join
from astropy import table
from astropy.coordinates import SkyCoord, match_coordinates_sky
from astropy.visualization import simple_norm
from astropy import units as u
from astropy.modeling import models
from astropy.wcs import WCS
# Box download imports
from astropy.utils.data import download_file
from pathlib import Path
from shutil import move
from os.path import splitext
import jwst
from jwst import datamodels
from jwst.datamodels import RampModel, ImageModel
from jwst import associations
from jwst.associations import asn_from_list
from jwst.associations.lib.rules_level3_base import DMS_Level3_Base
from jwst.pipeline import calwebb_image3
from jwst.pipeline import calwebb_image2
from jwst.pipeline import calwebb_detector1
from jwst.pipeline import Detector1Pipeline, Image2Pipeline, Image3Pipeline
from ci_watson.artifactory_helpers import get_bigdata
def create_scatterplot(catalog_colx, catalog_coly, title=None):
''' Function to generate a generic scatterplot.
'''
fig = plt.figure(figsize=(8, 8))
ax = plt.subplot()
ax.scatter(catalog_colx,catalog_coly)
plt.xlabel(catalog_colx.name)
plt.ylabel(catalog_coly.name)
if title:
plt.title(title)
# Band info from constants in miricap
# wref in microns and zeropoint in Jy
band_info = {
"2MASS J": {'wref': 1.235, 'zeropoint': 1594},
"2MASS H": {'wref': 1.662, 'zeropoint': 1024},
"2MASS Ks": {'wref': 2.159, 'zeropoint': 666.7},
"Johnson U": {'wref': 0.36, 'zeropoint': 1823},
"Johnson B": {'wref': 0.44, 'zeropoint': 4130},
"Johnson V": {'wref': 0.55, 'zeropoint': 3781},
"Johnson R": {'wref': 0.71, 'zeropoint': 2941},
"Johnson I": {'wref': 0.97, 'zeropoint': 2635},
"Johnson J": {'wref': 1.25, 'zeropoint': 1603},
"Johnson H": {'wref': 1.60, 'zeropoint': 1075},
"Johnson K": {'wref': 2.22, 'zeropoint': 667},
"Johnson L": {'wref': 3.54, 'zeropoint': 288},
"Johnson M": {'wref': 4.80, 'zeropoint': 170},
"Johnson N": {'wref': 10.6, 'zeropoint': 36},
"Johnson O": {'wref': 21.0, 'zeropoint': 9.4},
"UKIRT V": {'wref': 0.5556, 'zeropoint': 3540},
"UKIRT I": {'wref': 0.9, 'zeropoint': 2250},
"UKIRT J": {'wref': 1.25, 'zeropoint': 1600},
"UKIRT H": {'wref': 1.65, 'zeropoint': 1020},
"UKIRT K": {'wref': 2.20, 'zeropoint': 657},
"UKIRT L": {'wref': 3.45, 'zeropoint': 290},
"UKIRT L'": {'wref': 3.80, 'zeropoint': 252},
"UKIRT M": {'wref': 4.8, 'zeropoint': 163},
"UKIRT N": {'wref': 10.1, 'zeropoint': 39.8},
"UKIRT Q": {'wref': 20.0, 'zeropoint': 10.4},
"MIRLIN N": {'wref': 10.79, 'zeropoint': 33.4},
"MIRLIN Q-s": {'wref': 17.90, 'zeropoint': 12.4},
"MIRLIN N0": {'wref': 7.91, 'zeropoint': 60.9},
"MIRLIN N1": {'wref': 8.81, 'zeropoint': 49.4},
"MIRLIN N2": {'wref': 9.69, 'zeropoint': 41.1},
"MIRLIN N3": {'wref': 10.27, 'zeropoint': 36.7},
"MIRLIN N4": {'wref': 11.70, 'zeropoint': 28.5},
"MIRLIN N5": {'wref': 12.49, 'zeropoint': 25.1},
"MIRLIN Q0": {'wref': 17.20, 'zeropoint': 13.4},
"MIRLIN Q1": {'wref': 17.93, 'zeropoint': 12.3},
"MIRLIN Q2": {'wref': 18.64, 'zeropoint': 11.4},
"MIRLIN Q3": {'wref': 20.81, 'zeropoint': 9.2},
"MIRLIN Q4": {'wref': 22.81, 'zeropoint': 7.7},
"MIRLIN Q5": {'wref': 24.48, 'zeropoint': 6.7},
"MIRLIN K": {'wref': 2.2, 'zeropoint': 650.0},
"MIRLIN M": {'wref': 4.68, 'zeropoint': 165.0},
"WISE W1": {'wref': 3.4, 'zeropoint':309.54},
"WISE W2": {'wref': 4.6, 'zeropoint':171.787},
"WISE W3": {'wref': 12., 'zeropoint':31.674},
"WISE W4": {'wref': 22., 'zeropoint':8.363},
}
# code from miricap.imager section written by Christophe Cossou of the MIRI EC team.
def get_band_info(band, system):
"""
Retrieve information on a given band in a dictionnary 'band_info' that need to be
available in global variable of the script at this level.
:param str band: Band name (e.g. V for Johnson)
:param str system: possible values: Johnson, 2MASS, UKIRT, MARLIN)
:return: wref in microns and zeropoint in Jy
:rtype: tuple(Quantity, Quantity)
"""
system_list = ["Johnson", "2MASS", "UKIRT", "MARLIN"]
if system not in system_list:
LOG.info(f"Unknown system '{system}'. Possible values: {system_list}")
return None, None
key = f"{system} {band}"
try:
band_dict = band_info[key]
zeropoint = band_dict["zeropoint"]
wref = band_dict["wref"]
except KeyError:
bands = [k.split()[1] for k in band_info.keys() if system in k]
LOG.info(f"Unknown band '{band}' for '{system}'. Available bands are: {', '.join(bands)}")
return None, None
return wref * u.micron, zeropoint * u.Jy
def mag2flux(magnitude, band, system="Johnson"):
"""
Convert magnitude in a given band/system into flux in mJy (and return the corresponding wavelength reference
:param float magnitude: magnitude in a given bandpass
:param str band: band name (e.g 'V' or Johnson system)
:param str system: (By default Johnson, possible values: Johnson, 2MASS, UKIRT, MARLIN)
:return: flux in mJy and wref in microns
:rtype: tuple(float, float)
"""
wref, zero_point = get_band_info(band, system)
flux = zero_point * 10.0 ** (-0.4 * magnitude)
print(f"Magnitude {magnitude} in {system} band {band} -> Flux: {flux} at {wref} microns")
return flux.to(u.mJy).value, wref.value
def extrapolate_flux(flux, wref, waves, temperature_star):
"""
From a flux and reference wavelength, will return the flux for other wavelength
(using the star effective temperature for the spectrum shape)
To convert magnitude flux in a band, use one of the following website for instance:
- http://ssc.spitzer.caltech.edu/warmmission/propkit/pet/magtojy/
- https://www.gemini.edu/sciops/instruments/midir-resources/imaging-calibrations/fluxmagnitude-conversion
:param float flux: Star flux in mJy
:param float wref: reference wavelength (microns) corresponding to the flux given in parameter
:param waves: list of wavelengths you want to extrapolate the star flux on.
:type waves: float or list(float) or np.array(float)
:param float temperature_star: star effective temperature in K
:return: flux values for all required wavelengths. Unit will be the unit of the input flux
:rtype: quantity or np.array(quantity)
"""
flux = flux * u.mJy
wref = wref * u.micron
waves = waves * u.micron
bb_star = models.BlackBody(temperature_star * u.K)
extrapolated_flux = flux * bb_star(waves) / bb_star(wref)
print(f"Assuming T={temperature_star} K, Flux: {flux} at {wref} -> Flux: {extrapolated_flux} at {waves}")
return extrapolated_flux
print(jwst.__version__)
print(data_dir)
1.3.1 <TemporaryDirectory '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpw06u2kfo'>
# Read in new dataset from Box
def get_box_files(file_list):
for box_url,file_name in file_list:
if 'https' not in box_url:
box_url = 'https://stsci.box.com/shared/static/' + box_url
downloaded_file = download_file(box_url)
if Path(file_name).suffix == '':
ext = splitext(box_url)[1]
file_name += ext
move(downloaded_file, file_name)
# Use F560W data set
#file_urls = ['https://stsci.box.com/shared/static/g8ozd2wkdo9klrtkafpe9qegpzhpd66a.fits',
# 'https://stsci.box.com/shared/static/ym75nbqdi32t9wnbanm6s57itqixniyc.fits',
# 'https://stsci.box.com/shared/static/0bqh6ijsc6kd7cyv6gtnj9kvly9t885f.fits',
# 'https://stsci.box.com/shared/static/tywadpqcjhp9yxyv0sy91hc79red92xm.fits',
# 'https://stsci.box.com/shared/static/lpcgp7jkq6lmjj2lxpk63jz9u05qgk3a.cat',
# 'https://stsci.box.com/shared/static/15j6hkjc28zow4rjepob2t75dl887zs3.cat']
#file_names = ['det_image_seq1_MIRIMAGE_F560Wexp1_rate.fits',
# 'det_image_seq2_MIRIMAGE_F560Wexp1_rate.fits',
# 'det_image_seq3_MIRIMAGE_F560Wexp1_rate.fits',
# 'det_image_seq4_MIRIMAGE_F560Wexp1_rate.fits',
# 'input_sim_stars.cat',
# 'input_sim_galaxies.cat']
# Test with F770W data set
file_urls = ['https://stsci.box.com/shared/static/8573htf1p8mhk4e49z9b483dp975y3lz.fits',
'https://stsci.box.com/shared/static/p69h7uzlmqwlzf6kqqbf4lu9ibz28tc6.fits',
'https://stsci.box.com/shared/static/js8k6j20rek1oago057wxn08dhuticij.fits',
'https://stsci.box.com/shared/static/es253mc3m1sptusj9c9ctl1blidr1qdl.fits',
'https://stsci.box.com/shared/static/lpcgp7jkq6lmjj2lxpk63jz9u05qgk3a.cat',
'https://stsci.box.com/shared/static/15j6hkjc28zow4rjepob2t75dl887zs3.cat']
file_names = ['det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits',
'det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits',
'det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits',
'det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits',
'input_sim_stars.cat',
'input_sim_galaxies.cat']
box_download_list = [(url,name) for url,name in zip(file_urls,file_names)]
get_box_files(box_download_list)
# Run Calwebb_image2 on output files from detector1
ratefiles = glob('*rate.fits')
print('There are ', len(ratefiles), ' images.')
callist = []
# cycle through files
for im in ratefiles:
pipe2 = Image2Pipeline()
rampfile = ImageModel(im)
filename = rampfile.meta.filename
# Set pipeline parameters
pipe2.save_results = True
pipe2.output_file = filename +'_cal.fits'
pipe2.resample.save_results = True
pipe2.suffix = None
calfile = pipe2.run(rampfile)
callist.append(calfile)
print(callist)
2021-10-05 16:04:07,164 - stpipe.Image2Pipeline - INFO - Image2Pipeline instance created. 2021-10-05 16:04:07,166 - stpipe.Image2Pipeline.bkg_subtract - INFO - BackgroundStep instance created. 2021-10-05 16:04:07,168 - stpipe.Image2Pipeline.assign_wcs - INFO - AssignWcsStep instance created. 2021-10-05 16:04:07,170 - stpipe.Image2Pipeline.flat_field - INFO - FlatFieldStep instance created. 2021-10-05 16:04:07,171 - stpipe.Image2Pipeline.photom - INFO - PhotomStep instance created. 2021-10-05 16:04:07,173 - stpipe.Image2Pipeline.resample - INFO - ResampleStep instance created.
There are 4 images.
2021-10-05 16:04:07,797 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:07,802 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpw06u2kfo/det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits_cal.fits', 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_bsub': False, 'steps': {'bkg_subtract': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_combined_background': False, 'sigma': 3.0, 'maxiters': None}, 'assign_wcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}, 'flat_field': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}, 'photom': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}}}
2021-10-05 16:04:07,810 - stpipe.Image2Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits' reftypes = ['area', 'camera', 'collimator', 'dflat', 'disperser', 'distortion', 'drizpars', 'fflat', 'filteroffset', 'flat', 'fore', 'fpa', 'ifufore', 'ifupost', 'ifuslicer', 'msa', 'ote', 'photom', 'regions', 'sflat', 'specwcs', 'wavelengthrange', 'wfssbkg']
2021-10-05 16:04:08,032 - stpipe.Image2Pipeline - INFO - Prefetch for AREA reference file is '/grp/crds/cache/references/jwst/jwst_miri_area_0004.fits'.
2021-10-05 16:04:08,034 - stpipe.Image2Pipeline - INFO - Prefetch for CAMERA reference file is 'N/A'.
2021-10-05 16:04:08,035 - stpipe.Image2Pipeline - INFO - Prefetch for COLLIMATOR reference file is 'N/A'.
2021-10-05 16:04:08,036 - stpipe.Image2Pipeline - INFO - Prefetch for DFLAT reference file is 'N/A'.
2021-10-05 16:04:08,036 - stpipe.Image2Pipeline - INFO - Prefetch for DISPERSER reference file is 'N/A'.
2021-10-05 16:04:08,037 - stpipe.Image2Pipeline - INFO - Prefetch for DISTORTION reference file is '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf'.
2021-10-05 16:04:08,039 - stpipe.Image2Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-10-05 16:04:08,041 - stpipe.Image2Pipeline - INFO - Prefetch for FFLAT reference file is 'N/A'.
2021-10-05 16:04:08,042 - stpipe.Image2Pipeline - INFO - Prefetch for FILTEROFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf'.
2021-10-05 16:04:08,044 - stpipe.Image2Pipeline - INFO - Prefetch for FLAT reference file is '/grp/crds/cache/references/jwst/jwst_miri_flat_0729.fits'.
2021-10-05 16:04:08,045 - stpipe.Image2Pipeline - INFO - Prefetch for FORE reference file is 'N/A'.
2021-10-05 16:04:08,046 - stpipe.Image2Pipeline - INFO - Prefetch for FPA reference file is 'N/A'.
2021-10-05 16:04:08,047 - stpipe.Image2Pipeline - INFO - Prefetch for IFUFORE reference file is 'N/A'.
2021-10-05 16:04:08,047 - stpipe.Image2Pipeline - INFO - Prefetch for IFUPOST reference file is 'N/A'.
2021-10-05 16:04:08,048 - stpipe.Image2Pipeline - INFO - Prefetch for IFUSLICER reference file is 'N/A'.
2021-10-05 16:04:08,049 - stpipe.Image2Pipeline - INFO - Prefetch for MSA reference file is 'N/A'.
2021-10-05 16:04:08,049 - stpipe.Image2Pipeline - INFO - Prefetch for OTE reference file is 'N/A'.
2021-10-05 16:04:08,050 - stpipe.Image2Pipeline - INFO - Prefetch for PHOTOM reference file is '/grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits'.
2021-10-05 16:04:08,052 - stpipe.Image2Pipeline - INFO - Prefetch for REGIONS reference file is 'N/A'.
2021-10-05 16:04:08,053 - stpipe.Image2Pipeline - INFO - Prefetch for SFLAT reference file is 'N/A'.
2021-10-05 16:04:08,054 - stpipe.Image2Pipeline - INFO - Prefetch for SPECWCS reference file is 'N/A'.
2021-10-05 16:04:08,054 - stpipe.Image2Pipeline - INFO - Prefetch for WAVELENGTHRANGE reference file is 'N/A'.
2021-10-05 16:04:08,055 - stpipe.Image2Pipeline - INFO - Prefetch for WFSSBKG reference file is 'N/A'.
2021-10-05 16:04:08,056 - stpipe.Image2Pipeline - INFO - Starting calwebb_image2 ...
2021-10-05 16:04:08,125 - stpipe.Image2Pipeline - INFO - Processing product det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-10-05 16:04:08,126 - stpipe.Image2Pipeline - INFO - Working on input <ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits> ...
2021-10-05 16:04:08,287 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:08,289 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}
2021-10-05 16:04:08,494 - stpipe.Image2Pipeline.assign_wcs - INFO - Created a MIRI mir_image pipeline with references {'distortion': '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf', 'filteroffset': '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf', 'specwcs': None, 'regions': None, 'wavelengthrange': None, 'camera': None, 'collimator': None, 'disperser': None, 'fore': None, 'fpa': None, 'msa': None, 'ote': None, 'ifupost': None, 'ifufore': None, 'ifuslicer': None}
2021-10-05 16:04:08,564 - stpipe.Image2Pipeline.assign_wcs - INFO - Update S_REGION to POLYGON ICRS 0.019410454 -0.016139226 0.021877929 0.015048364 359.990819065 0.017621109 359.988011818 -0.013580304
2021-10-05 16:04:08,565 - stpipe.Image2Pipeline.assign_wcs - INFO - assign_wcs updated S_REGION to POLYGON ICRS 0.019410454 -0.016139226 0.021877929 0.015048364 359.990819065 0.017621109 359.988011818 -0.013580304
2021-10-05 16:04:08,566 - stpipe.Image2Pipeline.assign_wcs - INFO - COMPLETED assign_wcs
2021-10-05 16:04:08,602 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/astropy/modeling/fitting.py:779: AstropyUserWarning: The fit may be poorly conditioned
warnings.warn("The fit may be poorly conditioned\n",
2021-10-05 16:04:08,652 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs done
2021-10-05 16:04:08,850 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:08,852 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}
2021-10-05 16:04:08,966 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_PARTIAL_DATA does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:08,967 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_LOW_QUAL does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:08,968 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_UNRELIABLE_ERROR does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:08,975 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword DIFF_PATTERN does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:09,093 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field done
2021-10-05 16:04:09,240 - stpipe.Image2Pipeline.photom - INFO - Step photom running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:09,242 - stpipe.Image2Pipeline.photom - INFO - Step photom parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}
2021-10-05 16:04:09,269 - stpipe.Image2Pipeline.photom - INFO - Using photom reference file: /grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits
2021-10-05 16:04:09,270 - stpipe.Image2Pipeline.photom - INFO - Using area reference file: /grp/crds/cache/references/jwst/jwst_miri_area_0004.fits
2021-10-05 16:04:09,335 - stpipe.Image2Pipeline.photom - INFO - Using instrument: MIRI
2021-10-05 16:04:09,336 - stpipe.Image2Pipeline.photom - INFO - detector: MIRIMAGE
2021-10-05 16:04:09,337 - stpipe.Image2Pipeline.photom - INFO - exp_type: MIR_IMAGE
2021-10-05 16:04:09,338 - stpipe.Image2Pipeline.photom - INFO - filter: F770W
2021-10-05 16:04:09,379 - stpipe.Image2Pipeline.photom - INFO - Pixel area map copied to output.
2021-10-05 16:04:09,382 - stpipe.Image2Pipeline.photom - INFO - subarray: FULL
2021-10-05 16:04:09,383 - stpipe.Image2Pipeline.photom - INFO - PHOTMJSR value: 0.592788
2021-10-05 16:04:09,396 - stpipe.Image2Pipeline.photom - INFO - Step photom done
2021-10-05 16:04:09,543 - stpipe.Image2Pipeline.resample - INFO - Step resample running with args (<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:09,545 - stpipe.Image2Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-10-05 16:04:09,571 - stpipe.Image2Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-10-05 16:04:09,678 - stpipe.Image2Pipeline.resample - INFO - Resampling science data
2021-10-05 16:04:10,436 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:10,980 - stpipe.Image2Pipeline.resample - INFO - Resampling var_rnoise
2021-10-05 16:04:11,687 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:12,225 - stpipe.Image2Pipeline.resample - INFO - Resampling var_poisson
2021-10-05 16:04:12,910 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:13,444 - stpipe.Image2Pipeline.resample - INFO - Resampling var_flat
2021-10-05 16:04:14,048 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:14,599 - stpipe.Image2Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-10-05 16:04:14,603 - stpipe.Image2Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.019358561 -0.016335069 0.022108776 0.015004270 359.990738771 0.017757176 359.987988557 -0.013582163
2021-10-05 16:04:14,715 - stpipe.Image2Pipeline.resample - INFO - Saved model in det_image_seq1_MIRIMAGE_F770Wexp1_i2d.fits
2021-10-05 16:04:14,716 - stpipe.Image2Pipeline.resample - INFO - Step resample done
2021-10-05 16:04:14,717 - stpipe.Image2Pipeline - INFO - Finished processing product det_image_seq1_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-10-05 16:04:14,719 - stpipe.Image2Pipeline - INFO - ... ending calwebb_image2
2021-10-05 16:04:14,860 - stpipe.Image2Pipeline - INFO - Saved model in det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits
2021-10-05 16:04:14,861 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline done
2021-10-05 16:04:14,866 - stpipe.Image2Pipeline - INFO - Image2Pipeline instance created.
2021-10-05 16:04:14,868 - stpipe.Image2Pipeline.bkg_subtract - INFO - BackgroundStep instance created.
2021-10-05 16:04:14,870 - stpipe.Image2Pipeline.assign_wcs - INFO - AssignWcsStep instance created.
2021-10-05 16:04:14,872 - stpipe.Image2Pipeline.flat_field - INFO - FlatFieldStep instance created.
2021-10-05 16:04:14,873 - stpipe.Image2Pipeline.photom - INFO - PhotomStep instance created.
2021-10-05 16:04:14,875 - stpipe.Image2Pipeline.resample - INFO - ResampleStep instance created.
2021-10-05 16:04:15,100 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:15,105 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpw06u2kfo/det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits_cal.fits', 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_bsub': False, 'steps': {'bkg_subtract': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_combined_background': False, 'sigma': 3.0, 'maxiters': None}, 'assign_wcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}, 'flat_field': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}, 'photom': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}}}
2021-10-05 16:04:15,113 - stpipe.Image2Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits' reftypes = ['area', 'camera', 'collimator', 'dflat', 'disperser', 'distortion', 'drizpars', 'fflat', 'filteroffset', 'flat', 'fore', 'fpa', 'ifufore', 'ifupost', 'ifuslicer', 'msa', 'ote', 'photom', 'regions', 'sflat', 'specwcs', 'wavelengthrange', 'wfssbkg']
2021-10-05 16:04:15,117 - stpipe.Image2Pipeline - INFO - Prefetch for AREA reference file is '/grp/crds/cache/references/jwst/jwst_miri_area_0004.fits'.
2021-10-05 16:04:15,120 - stpipe.Image2Pipeline - INFO - Prefetch for CAMERA reference file is 'N/A'.
2021-10-05 16:04:15,120 - stpipe.Image2Pipeline - INFO - Prefetch for COLLIMATOR reference file is 'N/A'.
2021-10-05 16:04:15,121 - stpipe.Image2Pipeline - INFO - Prefetch for DFLAT reference file is 'N/A'.
2021-10-05 16:04:15,122 - stpipe.Image2Pipeline - INFO - Prefetch for DISPERSER reference file is 'N/A'.
2021-10-05 16:04:15,122 - stpipe.Image2Pipeline - INFO - Prefetch for DISTORTION reference file is '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf'.
2021-10-05 16:04:15,124 - stpipe.Image2Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-10-05 16:04:15,125 - stpipe.Image2Pipeline - INFO - Prefetch for FFLAT reference file is 'N/A'.
2021-10-05 16:04:15,126 - stpipe.Image2Pipeline - INFO - Prefetch for FILTEROFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf'.
2021-10-05 16:04:15,128 - stpipe.Image2Pipeline - INFO - Prefetch for FLAT reference file is '/grp/crds/cache/references/jwst/jwst_miri_flat_0729.fits'.
2021-10-05 16:04:15,129 - stpipe.Image2Pipeline - INFO - Prefetch for FORE reference file is 'N/A'.
2021-10-05 16:04:15,130 - stpipe.Image2Pipeline - INFO - Prefetch for FPA reference file is 'N/A'.
2021-10-05 16:04:15,130 - stpipe.Image2Pipeline - INFO - Prefetch for IFUFORE reference file is 'N/A'.
2021-10-05 16:04:15,131 - stpipe.Image2Pipeline - INFO - Prefetch for IFUPOST reference file is 'N/A'.
2021-10-05 16:04:15,131 - stpipe.Image2Pipeline - INFO - Prefetch for IFUSLICER reference file is 'N/A'.
2021-10-05 16:04:15,132 - stpipe.Image2Pipeline - INFO - Prefetch for MSA reference file is 'N/A'.
2021-10-05 16:04:15,132 - stpipe.Image2Pipeline - INFO - Prefetch for OTE reference file is 'N/A'.
2021-10-05 16:04:15,133 - stpipe.Image2Pipeline - INFO - Prefetch for PHOTOM reference file is '/grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits'.
2021-10-05 16:04:15,135 - stpipe.Image2Pipeline - INFO - Prefetch for REGIONS reference file is 'N/A'.
2021-10-05 16:04:15,135 - stpipe.Image2Pipeline - INFO - Prefetch for SFLAT reference file is 'N/A'.
2021-10-05 16:04:15,136 - stpipe.Image2Pipeline - INFO - Prefetch for SPECWCS reference file is 'N/A'.
2021-10-05 16:04:15,136 - stpipe.Image2Pipeline - INFO - Prefetch for WAVELENGTHRANGE reference file is 'N/A'.
2021-10-05 16:04:15,137 - stpipe.Image2Pipeline - INFO - Prefetch for WFSSBKG reference file is 'N/A'.
2021-10-05 16:04:15,137 - stpipe.Image2Pipeline - INFO - Starting calwebb_image2 ...
2021-10-05 16:04:15,191 - stpipe.Image2Pipeline - INFO - Processing product det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-10-05 16:04:15,192 - stpipe.Image2Pipeline - INFO - Working on input <ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits> ...
2021-10-05 16:04:15,334 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:15,337 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}
2021-10-05 16:04:15,508 - stpipe.Image2Pipeline.assign_wcs - INFO - Created a MIRI mir_image pipeline with references {'distortion': '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf', 'filteroffset': '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf', 'specwcs': None, 'regions': None, 'wavelengthrange': None, 'camera': None, 'collimator': None, 'disperser': None, 'fore': None, 'fpa': None, 'msa': None, 'ote': None, 'ifupost': None, 'ifufore': None, 'ifuslicer': None}
2021-10-05 16:04:15,562 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-10-05 16:04:15,566 - stpipe.Image2Pipeline.assign_wcs - INFO - Update S_REGION to POLYGON ICRS 0.020049595 -0.017461020 0.022517071 0.013726570 359.991458207 0.016299315 359.988650959 -0.014902098
2021-10-05 16:04:15,567 - stpipe.Image2Pipeline.assign_wcs - INFO - assign_wcs updated S_REGION to POLYGON ICRS 0.020049595 -0.017461020 0.022517071 0.013726570 359.991458207 0.016299315 359.988650959 -0.014902098
2021-10-05 16:04:15,568 - stpipe.Image2Pipeline.assign_wcs - INFO - COMPLETED assign_wcs
2021-10-05 16:04:15,603 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/astropy/modeling/fitting.py:779: AstropyUserWarning: The fit may be poorly conditioned
warnings.warn("The fit may be poorly conditioned\n",
2021-10-05 16:04:15,653 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs done
2021-10-05 16:04:15,790 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:15,792 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}
2021-10-05 16:04:15,903 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_PARTIAL_DATA does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:15,905 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_LOW_QUAL does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:15,906 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_UNRELIABLE_ERROR does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:15,913 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword DIFF_PATTERN does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:16,030 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field done
2021-10-05 16:04:16,170 - stpipe.Image2Pipeline.photom - INFO - Step photom running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:16,172 - stpipe.Image2Pipeline.photom - INFO - Step photom parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}
2021-10-05 16:04:16,199 - stpipe.Image2Pipeline.photom - INFO - Using photom reference file: /grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits
2021-10-05 16:04:16,200 - stpipe.Image2Pipeline.photom - INFO - Using area reference file: /grp/crds/cache/references/jwst/jwst_miri_area_0004.fits
2021-10-05 16:04:16,268 - stpipe.Image2Pipeline.photom - INFO - Using instrument: MIRI
2021-10-05 16:04:16,269 - stpipe.Image2Pipeline.photom - INFO - detector: MIRIMAGE
2021-10-05 16:04:16,270 - stpipe.Image2Pipeline.photom - INFO - exp_type: MIR_IMAGE
2021-10-05 16:04:16,270 - stpipe.Image2Pipeline.photom - INFO - filter: F770W
2021-10-05 16:04:16,303 - stpipe.Image2Pipeline.photom - INFO - Pixel area map copied to output.
2021-10-05 16:04:16,304 - stpipe.Image2Pipeline.photom - INFO - subarray: FULL
2021-10-05 16:04:16,306 - stpipe.Image2Pipeline.photom - INFO - PHOTMJSR value: 0.592788
2021-10-05 16:04:16,319 - stpipe.Image2Pipeline.photom - INFO - Step photom done
2021-10-05 16:04:16,456 - stpipe.Image2Pipeline.resample - INFO - Step resample running with args (<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:16,458 - stpipe.Image2Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-10-05 16:04:16,483 - stpipe.Image2Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-10-05 16:04:16,591 - stpipe.Image2Pipeline.resample - INFO - Resampling science data
2021-10-05 16:04:17,291 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:17,819 - stpipe.Image2Pipeline.resample - INFO - Resampling var_rnoise
2021-10-05 16:04:18,495 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:19,043 - stpipe.Image2Pipeline.resample - INFO - Resampling var_poisson
2021-10-05 16:04:19,623 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:20,152 - stpipe.Image2Pipeline.resample - INFO - Resampling var_flat
2021-10-05 16:04:20,752 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:21,299 - stpipe.Image2Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-10-05 16:04:21,302 - stpipe.Image2Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.019997703 -0.017656862 0.022747918 0.013682477 359.991377913 0.016435382 359.988627698 -0.014903956
2021-10-05 16:04:21,401 - stpipe.Image2Pipeline.resample - INFO - Saved model in det_image_seq2_MIRIMAGE_F770Wexp1_i2d.fits
2021-10-05 16:04:21,402 - stpipe.Image2Pipeline.resample - INFO - Step resample done
2021-10-05 16:04:21,403 - stpipe.Image2Pipeline - INFO - Finished processing product det_image_seq2_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-10-05 16:04:21,407 - stpipe.Image2Pipeline - INFO - ... ending calwebb_image2
2021-10-05 16:04:21,539 - stpipe.Image2Pipeline - INFO - Saved model in det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits
2021-10-05 16:04:21,541 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline done
2021-10-05 16:04:21,546 - stpipe.Image2Pipeline - INFO - Image2Pipeline instance created.
2021-10-05 16:04:21,548 - stpipe.Image2Pipeline.bkg_subtract - INFO - BackgroundStep instance created.
2021-10-05 16:04:21,550 - stpipe.Image2Pipeline.assign_wcs - INFO - AssignWcsStep instance created.
2021-10-05 16:04:21,552 - stpipe.Image2Pipeline.flat_field - INFO - FlatFieldStep instance created.
2021-10-05 16:04:21,553 - stpipe.Image2Pipeline.photom - INFO - PhotomStep instance created.
2021-10-05 16:04:21,555 - stpipe.Image2Pipeline.resample - INFO - ResampleStep instance created.
2021-10-05 16:04:21,740 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:21,746 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpw06u2kfo/det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits_cal.fits', 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_bsub': False, 'steps': {'bkg_subtract': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_combined_background': False, 'sigma': 3.0, 'maxiters': None}, 'assign_wcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}, 'flat_field': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}, 'photom': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}}}
2021-10-05 16:04:21,756 - stpipe.Image2Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits' reftypes = ['area', 'camera', 'collimator', 'dflat', 'disperser', 'distortion', 'drizpars', 'fflat', 'filteroffset', 'flat', 'fore', 'fpa', 'ifufore', 'ifupost', 'ifuslicer', 'msa', 'ote', 'photom', 'regions', 'sflat', 'specwcs', 'wavelengthrange', 'wfssbkg']
2021-10-05 16:04:21,760 - stpipe.Image2Pipeline - INFO - Prefetch for AREA reference file is '/grp/crds/cache/references/jwst/jwst_miri_area_0004.fits'.
2021-10-05 16:04:21,763 - stpipe.Image2Pipeline - INFO - Prefetch for CAMERA reference file is 'N/A'.
2021-10-05 16:04:21,764 - stpipe.Image2Pipeline - INFO - Prefetch for COLLIMATOR reference file is 'N/A'.
2021-10-05 16:04:21,765 - stpipe.Image2Pipeline - INFO - Prefetch for DFLAT reference file is 'N/A'.
2021-10-05 16:04:21,766 - stpipe.Image2Pipeline - INFO - Prefetch for DISPERSER reference file is 'N/A'.
2021-10-05 16:04:21,766 - stpipe.Image2Pipeline - INFO - Prefetch for DISTORTION reference file is '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf'.
2021-10-05 16:04:21,768 - stpipe.Image2Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-10-05 16:04:21,770 - stpipe.Image2Pipeline - INFO - Prefetch for FFLAT reference file is 'N/A'.
2021-10-05 16:04:21,771 - stpipe.Image2Pipeline - INFO - Prefetch for FILTEROFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf'.
2021-10-05 16:04:21,772 - stpipe.Image2Pipeline - INFO - Prefetch for FLAT reference file is '/grp/crds/cache/references/jwst/jwst_miri_flat_0729.fits'.
2021-10-05 16:04:21,774 - stpipe.Image2Pipeline - INFO - Prefetch for FORE reference file is 'N/A'.
2021-10-05 16:04:21,775 - stpipe.Image2Pipeline - INFO - Prefetch for FPA reference file is 'N/A'.
2021-10-05 16:04:21,776 - stpipe.Image2Pipeline - INFO - Prefetch for IFUFORE reference file is 'N/A'.
2021-10-05 16:04:21,777 - stpipe.Image2Pipeline - INFO - Prefetch for IFUPOST reference file is 'N/A'.
2021-10-05 16:04:21,777 - stpipe.Image2Pipeline - INFO - Prefetch for IFUSLICER reference file is 'N/A'.
2021-10-05 16:04:21,778 - stpipe.Image2Pipeline - INFO - Prefetch for MSA reference file is 'N/A'.
2021-10-05 16:04:21,778 - stpipe.Image2Pipeline - INFO - Prefetch for OTE reference file is 'N/A'.
2021-10-05 16:04:21,779 - stpipe.Image2Pipeline - INFO - Prefetch for PHOTOM reference file is '/grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits'.
2021-10-05 16:04:21,780 - stpipe.Image2Pipeline - INFO - Prefetch for REGIONS reference file is 'N/A'.
2021-10-05 16:04:21,781 - stpipe.Image2Pipeline - INFO - Prefetch for SFLAT reference file is 'N/A'.
2021-10-05 16:04:21,781 - stpipe.Image2Pipeline - INFO - Prefetch for SPECWCS reference file is 'N/A'.
2021-10-05 16:04:21,782 - stpipe.Image2Pipeline - INFO - Prefetch for WAVELENGTHRANGE reference file is 'N/A'.
2021-10-05 16:04:21,782 - stpipe.Image2Pipeline - INFO - Prefetch for WFSSBKG reference file is 'N/A'.
2021-10-05 16:04:21,783 - stpipe.Image2Pipeline - INFO - Starting calwebb_image2 ...
2021-10-05 16:04:21,827 - stpipe.Image2Pipeline - INFO - Processing product det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-10-05 16:04:21,828 - stpipe.Image2Pipeline - INFO - Working on input <ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits> ...
2021-10-05 16:04:21,979 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:21,981 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}
2021-10-05 16:04:22,151 - stpipe.Image2Pipeline.assign_wcs - INFO - Created a MIRI mir_image pipeline with references {'distortion': '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf', 'filteroffset': '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf', 'specwcs': None, 'regions': None, 'wavelengthrange': None, 'camera': None, 'collimator': None, 'disperser': None, 'fore': None, 'fpa': None, 'msa': None, 'ote': None, 'ifupost': None, 'ifufore': None, 'ifuslicer': None}
2021-10-05 16:04:22,212 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-10-05 16:04:22,220 - stpipe.Image2Pipeline.assign_wcs - INFO - Update S_REGION to POLYGON ICRS 0.020280738 -0.019911784 0.022748213 0.011275807 359.991689350 0.013848551 359.988882102 -0.017352862
2021-10-05 16:04:22,222 - stpipe.Image2Pipeline.assign_wcs - INFO - assign_wcs updated S_REGION to POLYGON ICRS 0.020280738 -0.019911784 0.022748213 0.011275807 359.991689350 0.013848551 359.988882102 -0.017352862
2021-10-05 16:04:22,222 - stpipe.Image2Pipeline.assign_wcs - INFO - COMPLETED assign_wcs
2021-10-05 16:04:22,267 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/astropy/modeling/fitting.py:779: AstropyUserWarning: The fit may be poorly conditioned
warnings.warn("The fit may be poorly conditioned\n",
2021-10-05 16:04:22,318 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs done
2021-10-05 16:04:22,533 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:22,536 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}
2021-10-05 16:04:22,643 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_PARTIAL_DATA does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:22,644 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_LOW_QUAL does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:22,645 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_UNRELIABLE_ERROR does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:22,652 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword DIFF_PATTERN does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:22,772 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field done
2021-10-05 16:04:22,875 - stpipe.Image2Pipeline.photom - INFO - Step photom running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:22,877 - stpipe.Image2Pipeline.photom - INFO - Step photom parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}
2021-10-05 16:04:22,905 - stpipe.Image2Pipeline.photom - INFO - Using photom reference file: /grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits
2021-10-05 16:04:22,906 - stpipe.Image2Pipeline.photom - INFO - Using area reference file: /grp/crds/cache/references/jwst/jwst_miri_area_0004.fits
2021-10-05 16:04:22,973 - stpipe.Image2Pipeline.photom - INFO - Using instrument: MIRI
2021-10-05 16:04:22,974 - stpipe.Image2Pipeline.photom - INFO - detector: MIRIMAGE
2021-10-05 16:04:22,975 - stpipe.Image2Pipeline.photom - INFO - exp_type: MIR_IMAGE
2021-10-05 16:04:22,976 - stpipe.Image2Pipeline.photom - INFO - filter: F770W
2021-10-05 16:04:23,013 - stpipe.Image2Pipeline.photom - INFO - Pixel area map copied to output.
2021-10-05 16:04:23,015 - stpipe.Image2Pipeline.photom - INFO - subarray: FULL
2021-10-05 16:04:23,017 - stpipe.Image2Pipeline.photom - INFO - PHOTMJSR value: 0.592788
2021-10-05 16:04:23,029 - stpipe.Image2Pipeline.photom - INFO - Step photom done
2021-10-05 16:04:23,131 - stpipe.Image2Pipeline.resample - INFO - Step resample running with args (<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:23,133 - stpipe.Image2Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-10-05 16:04:23,157 - stpipe.Image2Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-10-05 16:04:23,261 - stpipe.Image2Pipeline.resample - INFO - Resampling science data
2021-10-05 16:04:23,936 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:24,458 - stpipe.Image2Pipeline.resample - INFO - Resampling var_rnoise
2021-10-05 16:04:25,065 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:25,599 - stpipe.Image2Pipeline.resample - INFO - Resampling var_poisson
2021-10-05 16:04:26,222 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:26,752 - stpipe.Image2Pipeline.resample - INFO - Resampling var_flat
2021-10-05 16:04:27,386 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:27,951 - stpipe.Image2Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-10-05 16:04:27,954 - stpipe.Image2Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.020228846 -0.020107626 0.022979061 0.011231713 359.991609056 0.013984618 359.988858841 -0.017354721
2021-10-05 16:04:28,058 - stpipe.Image2Pipeline.resample - INFO - Saved model in det_image_seq3_MIRIMAGE_F770Wexp1_i2d.fits
2021-10-05 16:04:28,060 - stpipe.Image2Pipeline.resample - INFO - Step resample done
2021-10-05 16:04:28,060 - stpipe.Image2Pipeline - INFO - Finished processing product det_image_seq3_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-10-05 16:04:28,062 - stpipe.Image2Pipeline - INFO - ... ending calwebb_image2
2021-10-05 16:04:28,204 - stpipe.Image2Pipeline - INFO - Saved model in det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits
2021-10-05 16:04:28,205 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline done
2021-10-05 16:04:28,210 - stpipe.Image2Pipeline - INFO - Image2Pipeline instance created.
2021-10-05 16:04:28,212 - stpipe.Image2Pipeline.bkg_subtract - INFO - BackgroundStep instance created.
2021-10-05 16:04:28,213 - stpipe.Image2Pipeline.assign_wcs - INFO - AssignWcsStep instance created.
2021-10-05 16:04:28,214 - stpipe.Image2Pipeline.flat_field - INFO - FlatFieldStep instance created.
2021-10-05 16:04:28,216 - stpipe.Image2Pipeline.photom - INFO - PhotomStep instance created.
2021-10-05 16:04:28,217 - stpipe.Image2Pipeline.resample - INFO - ResampleStep instance created.
2021-10-05 16:04:28,397 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:28,402 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': '/data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/tmp/tmpw06u2kfo/det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits_cal.fits', 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_bsub': False, 'steps': {'bkg_subtract': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_combined_background': False, 'sigma': 3.0, 'maxiters': None}, 'assign_wcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}, 'flat_field': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}, 'photom': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}}}
2021-10-05 16:04:28,410 - stpipe.Image2Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits' reftypes = ['area', 'camera', 'collimator', 'dflat', 'disperser', 'distortion', 'drizpars', 'fflat', 'filteroffset', 'flat', 'fore', 'fpa', 'ifufore', 'ifupost', 'ifuslicer', 'msa', 'ote', 'photom', 'regions', 'sflat', 'specwcs', 'wavelengthrange', 'wfssbkg']
2021-10-05 16:04:28,416 - stpipe.Image2Pipeline - INFO - Prefetch for AREA reference file is '/grp/crds/cache/references/jwst/jwst_miri_area_0004.fits'.
2021-10-05 16:04:28,417 - stpipe.Image2Pipeline - INFO - Prefetch for CAMERA reference file is 'N/A'.
2021-10-05 16:04:28,417 - stpipe.Image2Pipeline - INFO - Prefetch for COLLIMATOR reference file is 'N/A'.
2021-10-05 16:04:28,418 - stpipe.Image2Pipeline - INFO - Prefetch for DFLAT reference file is 'N/A'.
2021-10-05 16:04:28,418 - stpipe.Image2Pipeline - INFO - Prefetch for DISPERSER reference file is 'N/A'.
2021-10-05 16:04:28,419 - stpipe.Image2Pipeline - INFO - Prefetch for DISTORTION reference file is '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf'.
2021-10-05 16:04:28,420 - stpipe.Image2Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-10-05 16:04:28,421 - stpipe.Image2Pipeline - INFO - Prefetch for FFLAT reference file is 'N/A'.
2021-10-05 16:04:28,421 - stpipe.Image2Pipeline - INFO - Prefetch for FILTEROFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf'.
2021-10-05 16:04:28,422 - stpipe.Image2Pipeline - INFO - Prefetch for FLAT reference file is '/grp/crds/cache/references/jwst/jwst_miri_flat_0729.fits'.
2021-10-05 16:04:28,423 - stpipe.Image2Pipeline - INFO - Prefetch for FORE reference file is 'N/A'.
2021-10-05 16:04:28,424 - stpipe.Image2Pipeline - INFO - Prefetch for FPA reference file is 'N/A'.
2021-10-05 16:04:28,424 - stpipe.Image2Pipeline - INFO - Prefetch for IFUFORE reference file is 'N/A'.
2021-10-05 16:04:28,425 - stpipe.Image2Pipeline - INFO - Prefetch for IFUPOST reference file is 'N/A'.
2021-10-05 16:04:28,425 - stpipe.Image2Pipeline - INFO - Prefetch for IFUSLICER reference file is 'N/A'.
2021-10-05 16:04:28,426 - stpipe.Image2Pipeline - INFO - Prefetch for MSA reference file is 'N/A'.
2021-10-05 16:04:28,426 - stpipe.Image2Pipeline - INFO - Prefetch for OTE reference file is 'N/A'.
2021-10-05 16:04:28,427 - stpipe.Image2Pipeline - INFO - Prefetch for PHOTOM reference file is '/grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits'.
2021-10-05 16:04:28,428 - stpipe.Image2Pipeline - INFO - Prefetch for REGIONS reference file is 'N/A'.
2021-10-05 16:04:28,428 - stpipe.Image2Pipeline - INFO - Prefetch for SFLAT reference file is 'N/A'.
2021-10-05 16:04:28,429 - stpipe.Image2Pipeline - INFO - Prefetch for SPECWCS reference file is 'N/A'.
2021-10-05 16:04:28,429 - stpipe.Image2Pipeline - INFO - Prefetch for WAVELENGTHRANGE reference file is 'N/A'.
2021-10-05 16:04:28,430 - stpipe.Image2Pipeline - INFO - Prefetch for WFSSBKG reference file is 'N/A'.
2021-10-05 16:04:28,430 - stpipe.Image2Pipeline - INFO - Starting calwebb_image2 ...
2021-10-05 16:04:28,478 - stpipe.Image2Pipeline - INFO - Processing product det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-10-05 16:04:28,479 - stpipe.Image2Pipeline - INFO - Working on input <ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits> ...
2021-10-05 16:04:28,584 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:28,586 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'sip_approx': True, 'sip_max_pix_error': 0.25, 'sip_degree': None, 'sip_max_inv_pix_error': 0.25, 'sip_inv_degree': None, 'sip_npoints': 32, 'slit_y_low': -0.55, 'slit_y_high': 0.55}
2021-10-05 16:04:28,754 - stpipe.Image2Pipeline.assign_wcs - INFO - Created a MIRI mir_image pipeline with references {'distortion': '/grp/crds/cache/references/jwst/jwst_miri_distortion_0028.asdf', 'filteroffset': '/grp/crds/cache/references/jwst/jwst_miri_filteroffset_0005.asdf', 'specwcs': None, 'regions': None, 'wavelengthrange': None, 'camera': None, 'collimator': None, 'disperser': None, 'fore': None, 'fpa': None, 'msa': None, 'ote': None, 'ifupost': None, 'ifufore': None, 'ifuslicer': None}
2021-10-05 16:04:28,810 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-10-05 16:04:28,814 - stpipe.Image2Pipeline.assign_wcs - INFO - Update S_REGION to POLYGON ICRS 0.021816605 -0.019412938 0.024284080 0.011774652 359.993225217 0.014347397 359.990417969 -0.016854016
2021-10-05 16:04:28,815 - stpipe.Image2Pipeline.assign_wcs - INFO - assign_wcs updated S_REGION to POLYGON ICRS 0.021816605 -0.019412938 0.024284080 0.011774652 359.993225217 0.014347397 359.990417969 -0.016854016
2021-10-05 16:04:28,816 - stpipe.Image2Pipeline.assign_wcs - INFO - COMPLETED assign_wcs
2021-10-05 16:04:28,849 - stpipe.Image2Pipeline.assign_wcs - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/astropy/modeling/fitting.py:779: AstropyUserWarning: The fit may be poorly conditioned
warnings.warn("The fit may be poorly conditioned\n",
2021-10-05 16:04:28,898 - stpipe.Image2Pipeline.assign_wcs - INFO - Step assign_wcs done
2021-10-05 16:04:28,999 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:29,001 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_interpolated_flat': False, 'user_supplied_flat': None, 'inverse': False}
2021-10-05 16:04:29,107 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_PARTIAL_DATA does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:29,108 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_LOW_QUAL does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:29,109 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword CDP_UNRELIABLE_ERROR does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:29,117 - stpipe.Image2Pipeline.flat_field - WARNING - Keyword DIFF_PATTERN does not correspond to an existing DQ mnemonic, so will be ignored
2021-10-05 16:04:29,234 - stpipe.Image2Pipeline.flat_field - INFO - Step flat_field done
2021-10-05 16:04:29,341 - stpipe.Image2Pipeline.photom - INFO - Step photom running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:29,343 - stpipe.Image2Pipeline.photom - INFO - Step photom parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'inverse': False, 'source_type': None}
2021-10-05 16:04:29,367 - stpipe.Image2Pipeline.photom - INFO - Using photom reference file: /grp/crds/cache/references/jwst/jwst_miri_photom_0073.fits
2021-10-05 16:04:29,368 - stpipe.Image2Pipeline.photom - INFO - Using area reference file: /grp/crds/cache/references/jwst/jwst_miri_area_0004.fits
2021-10-05 16:04:29,437 - stpipe.Image2Pipeline.photom - INFO - Using instrument: MIRI
2021-10-05 16:04:29,438 - stpipe.Image2Pipeline.photom - INFO - detector: MIRIMAGE
2021-10-05 16:04:29,439 - stpipe.Image2Pipeline.photom - INFO - exp_type: MIR_IMAGE
2021-10-05 16:04:29,440 - stpipe.Image2Pipeline.photom - INFO - filter: F770W
2021-10-05 16:04:29,471 - stpipe.Image2Pipeline.photom - INFO - Pixel area map copied to output.
2021-10-05 16:04:29,473 - stpipe.Image2Pipeline.photom - INFO - subarray: FULL
2021-10-05 16:04:29,474 - stpipe.Image2Pipeline.photom - INFO - PHOTMJSR value: 0.592788
2021-10-05 16:04:29,486 - stpipe.Image2Pipeline.photom - INFO - Step photom done
2021-10-05 16:04:29,591 - stpipe.Image2Pipeline.resample - INFO - Step resample running with args (<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits>,).
2021-10-05 16:04:29,593 - stpipe.Image2Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-10-05 16:04:29,617 - stpipe.Image2Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-10-05 16:04:29,719 - stpipe.Image2Pipeline.resample - INFO - Resampling science data
2021-10-05 16:04:30,416 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:30,946 - stpipe.Image2Pipeline.resample - INFO - Resampling var_rnoise
2021-10-05 16:04:31,667 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:32,203 - stpipe.Image2Pipeline.resample - INFO - Resampling var_poisson
2021-10-05 16:04:32,873 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:33,405 - stpipe.Image2Pipeline.resample - INFO - Resampling var_flat
2021-10-05 16:04:33,980 - stpipe.Image2Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1023, 1023)
2021-10-05 16:04:34,535 - stpipe.Image2Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-10-05 16:04:34,537 - stpipe.Image2Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.021764713 -0.019608781 0.024514927 0.011730558 359.993144923 0.014483464 359.990394708 -0.016855875
2021-10-05 16:04:34,634 - stpipe.Image2Pipeline.resample - INFO - Saved model in det_image_seq4_MIRIMAGE_F770Wexp1_i2d.fits
2021-10-05 16:04:34,635 - stpipe.Image2Pipeline.resample - INFO - Step resample done
2021-10-05 16:04:34,636 - stpipe.Image2Pipeline - INFO - Finished processing product det_image_seq4_MIRIMAGE_F770Wexp1_rate.fits_cal
2021-10-05 16:04:34,638 - stpipe.Image2Pipeline - INFO - ... ending calwebb_image2
2021-10-05 16:04:34,770 - stpipe.Image2Pipeline - INFO - Saved model in det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits
2021-10-05 16:04:34,772 - stpipe.Image2Pipeline - INFO - Step Image2Pipeline done
[[<ImageModel(1024, 1032) from det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits>], [<ImageModel(1024, 1032) from det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits>], [<ImageModel(1024, 1032) from det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits>], [<ImageModel(1024, 1032) from det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits>]]
# use asn_from_list to create association table
calfiles = glob('*_cal.fits')
asn = asn_from_list.asn_from_list(calfiles, rule=DMS_Level3_Base, product_name='starfield_combined.fits')
# use this if you need to add non'science' exposure types
#asn['products'][0]['members'][1]['exptype'] = 'background'
#asn['products'][0]['members'][2]['exptype'] = 'sourcecat'
# dump association table to a .json file for use in image3
with open('starfield_asnfile.json', 'w') as fp:
fp.write(asn.dump()[1])
print(asn)
jwnoprogram-a3001_none_006_asn with 1 products Rule=DMS_Level3_Base No constraints Products: starfield_combined.fits with 4 members
For MIRI, the FWHM values are dependent on filter and should be set using the table below:
| Filter | FWHM |
|---|---|
| F560W | 1.636 |
| F770W | 2.187 |
| F1000W | 2.888 |
| F1130W | 3.318 |
| F1280W | 3.713 |
| F1500W | 4.354 |
| F1800W | 5.224 |
| F2100W | 5.989 |
| F2550W | 7.312 |
| F2550WR | 7.312 |
For the fit geometry keyword, the following options are available: fitgeometry: A str value indicating the type of affine transformation to be considered when fitting catalogs. Allowed values:
'shift': x/y shifts only
'rscale': rotation and scale
'rshift': rotation and shifts
'general': shift, rotation, and scale (Default=”general”)
# Run Calwebb_image3 on the association table
# set any specific parameters
# tweakreg parameters to allow data to run
fwhm = 2.187 # Gaussian kernel FWHM of objects expected, default=2.5
minobj = 5 # minimum number of objects needed to match positions for a good fit, default=15
snr = 8 # signal to noise threshold, default=5
sigma = 5 # clipping limit, in sigma units, used when performing fit, default=3
fit_geom = 'shift' # ftype of affine transformation to be considered when fitting catalogs, default='general'
use2dhist = False # boolean indicating whether to use 2D histogram to find initial offset, default=True
pipe3=Image3Pipeline()
pipe3.tweakreg.kernel_fwhm = fwhm
pipe3.tweakreg.snr_threshold = snr
pipe3.tweakreg.minobj = minobj
pipe3.tweakreg.sigma = sigma
pipe3.tweakreg.fitgeometry = fit_geom
pipe3.tweakreg.use2dhist = use2dhist
pipe3.source_catalog.save_results = True
pipe3.source_catalog.snr_threshold = snr
pipe3.source_catalog.kernel_fwhm = fwhm
pipe3.save_results = True
# run Image3
image = pipe3.run('starfield_asnfile.json')
print('Image 3 pipeline finished.')
2021-10-05 16:04:34,798 - stpipe.Image3Pipeline - INFO - Image3Pipeline instance created.
2021-10-05 16:04:34,800 - stpipe.Image3Pipeline.assign_mtwcs - INFO - AssignMTWcsStep instance created.
2021-10-05 16:04:34,802 - stpipe.Image3Pipeline.tweakreg - INFO - TweakRegStep instance created.
2021-10-05 16:04:34,803 - stpipe.Image3Pipeline.skymatch - INFO - SkyMatchStep instance created.
2021-10-05 16:04:34,805 - stpipe.Image3Pipeline.outlier_detection - INFO - OutlierDetectionStep instance created.
2021-10-05 16:04:34,806 - stpipe.Image3Pipeline.resample - INFO - ResampleStep instance created.
2021-10-05 16:04:34,808 - stpipe.Image3Pipeline.source_catalog - INFO - SourceCatalogStep instance created.
2021-10-05 16:04:34,904 - stpipe.Image3Pipeline - INFO - Step Image3Pipeline running with args ('starfield_asnfile.json',).
2021-10-05 16:04:34,910 - stpipe.Image3Pipeline - INFO - Step Image3Pipeline parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'steps': {'assign_mtwcs': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': True, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': 'assign_mtwcs', 'search_output_file': True, 'input_dir': ''}, 'tweakreg': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': True, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_catalogs': False, 'catalog_format': 'ecsv', 'kernel_fwhm': 2.187, 'snr_threshold': 8, 'brightest': 1000, 'peakmax': None, 'enforce_user_order': False, 'expand_refcat': False, 'minobj': 5, 'searchrad': 1.0, 'use2dhist': False, 'separation': 0.5, 'tolerance': 1.0, 'xoffset': 0.0, 'yoffset': 0.0, 'fitgeometry': 'shift', 'nclip': 3, 'sigma': 5, 'align_to_gaia': False, 'gaia_catalog': 'GAIADR2', 'min_gaia': 5, 'save_gaia_catalog': False}, 'skymatch': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'skymethod': 'global+match', 'match_down': True, 'subtract': False, 'stepsize': None, 'skystat': 'mode', 'dqbits': '0', 'lower': None, 'upper': None, 'nclip': 5, 'lsigma': 4.0, 'usigma': 4.0, 'binwidth': 0.1}, 'outlier_detection': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': False, 'input_dir': '', 'weight_type': 'ivm', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'nlow': 0, 'nhigh': 0, 'maskpt': 0.7, 'grow': 1, 'snr': '5.0 4.0', 'scale': '1.2 0.7', 'backg': 0.0, 'save_intermediate_results': False, 'resample_data': True, 'good_bits': '~DO_NOT_USE', 'scale_detection': False, 'allowed_memory': None}, 'resample': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}, 'source_catalog': {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'cat', 'search_output_file': True, 'input_dir': '', 'bkg_boxsize': 100, 'kernel_fwhm': 2.187, 'snr_threshold': 8, 'npixels': 5, 'deblend': False, 'aperture_ee1': 30, 'aperture_ee2': 50, 'aperture_ee3': 70, 'ci1_star_threshold': 2.0, 'ci2_star_threshold': 1.8}}}
2021-10-05 16:04:35,011 - stpipe.Image3Pipeline - INFO - Prefetching reference files for dataset: 'det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits' reftypes = ['abvegaoffset', 'apcorr', 'drizpars']
2021-10-05 16:04:35,019 - stpipe.Image3Pipeline - INFO - Prefetch for ABVEGAOFFSET reference file is '/grp/crds/cache/references/jwst/jwst_miri_abvegaoffset_0001.asdf'.
2021-10-05 16:04:35,021 - stpipe.Image3Pipeline - INFO - Prefetch for APCORR reference file is '/grp/crds/cache/references/jwst/jwst_miri_apcorr_0005.fits'.
2021-10-05 16:04:35,023 - stpipe.Image3Pipeline - INFO - Prefetch for DRIZPARS reference file is '/grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits'.
2021-10-05 16:04:35,024 - stpipe.Image3Pipeline - INFO - Starting calwebb_image3 ...
2021-10-05 16:04:35,457 - stpipe.Image3Pipeline.tweakreg - INFO - Step tweakreg running with args (<ModelContainer>,).
2021-10-05 16:04:35,460 - stpipe.Image3Pipeline.tweakreg - INFO - Step tweakreg parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': True, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'save_catalogs': False, 'catalog_format': 'ecsv', 'kernel_fwhm': 2.187, 'snr_threshold': 8, 'brightest': 1000, 'peakmax': None, 'enforce_user_order': False, 'expand_refcat': False, 'minobj': 5, 'searchrad': 1.0, 'use2dhist': False, 'separation': 0.5, 'tolerance': 1.0, 'xoffset': 0.0, 'yoffset': 0.0, 'fitgeometry': 'shift', 'nclip': 3, 'sigma': 5, 'align_to_gaia': False, 'gaia_catalog': 'GAIADR2', 'min_gaia': 5, 'save_gaia_catalog': False}
2021-10-05 16:04:35,680 - stpipe.Image3Pipeline.tweakreg - INFO - Detected 36 sources in det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits.
2021-10-05 16:04:35,941 - stpipe.Image3Pipeline.tweakreg - INFO - Detected 33 sources in det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits.
2021-10-05 16:04:36,197 - stpipe.Image3Pipeline.tweakreg - INFO - Detected 35 sources in det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits.
2021-10-05 16:04:36,469 - stpipe.Image3Pipeline.tweakreg - INFO - Detected 46 sources in det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits.
2021-10-05 16:04:36,488 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:36,489 - stpipe.Image3Pipeline.tweakreg - INFO - Number of image groups to be aligned: 4.
2021-10-05 16:04:36,489 - stpipe.Image3Pipeline.tweakreg - INFO - Image groups:
2021-10-05 16:04:36,514 - stpipe.Image3Pipeline.tweakreg - INFO - * Images in GROUP 'det_image_seq1_MIRIMAGE_F770Wexp1_cal':
2021-10-05 16:04:36,515 - stpipe.Image3Pipeline.tweakreg - INFO - det_image_seq1_MIRIMAGE_F770Wexp1_cal
2021-10-05 16:04:36,540 - stpipe.Image3Pipeline.tweakreg - INFO - * Images in GROUP 'det_image_seq2_MIRIMAGE_F770Wexp1_cal':
2021-10-05 16:04:36,541 - stpipe.Image3Pipeline.tweakreg - INFO - det_image_seq2_MIRIMAGE_F770Wexp1_cal
2021-10-05 16:04:36,565 - stpipe.Image3Pipeline.tweakreg - INFO - * Images in GROUP 'det_image_seq3_MIRIMAGE_F770Wexp1_cal':
2021-10-05 16:04:36,566 - stpipe.Image3Pipeline.tweakreg - INFO - det_image_seq3_MIRIMAGE_F770Wexp1_cal
2021-10-05 16:04:36,591 - stpipe.Image3Pipeline.tweakreg - INFO - * Images in GROUP 'det_image_seq4_MIRIMAGE_F770Wexp1_cal':
2021-10-05 16:04:36,592 - stpipe.Image3Pipeline.tweakreg - INFO - det_image_seq4_MIRIMAGE_F770Wexp1_cal
2021-10-05 16:04:36,592 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:36,593 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:36,593 - stpipe.Image3Pipeline.tweakreg - INFO - ***** tweakwcs.imalign.align_wcs() started on 2021-10-05 16:04:36.593320
2021-10-05 16:04:36,594 - stpipe.Image3Pipeline.tweakreg - INFO - Version 0.7.3
2021-10-05 16:04:36,595 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:36,677 - stpipe.Image3Pipeline.tweakreg - INFO - Selected image 'GROUP ID: det_image_seq1_MIRIMAGE_F770Wexp1_cal' as reference image
2021-10-05 16:04:36,681 - stpipe.Image3Pipeline.tweakreg - INFO - Aligning image catalog 'GROUP ID: det_image_seq2_MIRIMAGE_F770Wexp1_cal' to the reference catalog.
2021-10-05 16:04:36,785 - stpipe.Image3Pipeline.tweakreg - INFO - Matching sources from 'det_image_seq2_MIRIMAGE_F770Wexp1_cal' catalog with sources from the reference 'det_image_seq1_MIRIMAGE_F770Wexp1_cal' catalog.
2021-10-05 16:04:36,787 - stpipe.Image3Pipeline.tweakreg - INFO - Found 25 matches for 'GROUP ID: det_image_seq2_MIRIMAGE_F770Wexp1_cal'...
2021-10-05 16:04:36,788 - stpipe.Image3Pipeline.tweakreg - INFO - Performing 'shift' fit
2021-10-05 16:04:36,790 - stpipe.Image3Pipeline.tweakreg - INFO - Computed 'shift' fit for GROUP ID: det_image_seq2_MIRIMAGE_F770Wexp1_cal:
2021-10-05 16:04:36,790 - stpipe.Image3Pipeline.tweakreg - INFO - XSH: -0.00523577 YSH: -0.00460672
2021-10-05 16:04:36,791 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:36,791 - stpipe.Image3Pipeline.tweakreg - INFO - FIT RMSE: 0.0292529 FIT MAE: 0.0158524
2021-10-05 16:04:36,792 - stpipe.Image3Pipeline.tweakreg - INFO - Final solution based on 25 objects.
2021-10-05 16:04:36,821 - stpipe.Image3Pipeline.tweakreg - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/wcs.py:1990: DeprecationWarning: Indexing a WCS.pipeline step is deprecated. Use the `frame` and `transform` attributes instead.
warnings.warn("Indexing a WCS.pipeline step is deprecated. "
2021-10-05 16:04:36,834 - stpipe.Image3Pipeline.tweakreg - INFO - Aligning image catalog 'GROUP ID: det_image_seq3_MIRIMAGE_F770Wexp1_cal' to the reference catalog.
2021-10-05 16:04:36,941 - stpipe.Image3Pipeline.tweakreg - INFO - Matching sources from 'det_image_seq3_MIRIMAGE_F770Wexp1_cal' catalog with sources from the reference 'det_image_seq1_MIRIMAGE_F770Wexp1_cal' catalog.
2021-10-05 16:04:36,943 - stpipe.Image3Pipeline.tweakreg - INFO - Found 24 matches for 'GROUP ID: det_image_seq3_MIRIMAGE_F770Wexp1_cal'...
2021-10-05 16:04:36,944 - stpipe.Image3Pipeline.tweakreg - INFO - Performing 'shift' fit
2021-10-05 16:04:36,946 - stpipe.Image3Pipeline.tweakreg - INFO - Computed 'shift' fit for GROUP ID: det_image_seq3_MIRIMAGE_F770Wexp1_cal:
2021-10-05 16:04:36,947 - stpipe.Image3Pipeline.tweakreg - INFO - XSH: -0.000198679 YSH: -0.00267906
2021-10-05 16:04:36,947 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:36,948 - stpipe.Image3Pipeline.tweakreg - INFO - FIT RMSE: 0.00680934 FIT MAE: 0.00551607
2021-10-05 16:04:36,948 - stpipe.Image3Pipeline.tweakreg - INFO - Final solution based on 24 objects.
2021-10-05 16:04:36,989 - stpipe.Image3Pipeline.tweakreg - INFO - Aligning image catalog 'GROUP ID: det_image_seq4_MIRIMAGE_F770Wexp1_cal' to the reference catalog.
2021-10-05 16:04:37,097 - stpipe.Image3Pipeline.tweakreg - INFO - Matching sources from 'det_image_seq4_MIRIMAGE_F770Wexp1_cal' catalog with sources from the reference 'det_image_seq1_MIRIMAGE_F770Wexp1_cal' catalog.
2021-10-05 16:04:37,099 - stpipe.Image3Pipeline.tweakreg - INFO - Found 25 matches for 'GROUP ID: det_image_seq4_MIRIMAGE_F770Wexp1_cal'...
2021-10-05 16:04:37,099 - stpipe.Image3Pipeline.tweakreg - INFO - Performing 'shift' fit
2021-10-05 16:04:37,101 - stpipe.Image3Pipeline.tweakreg - INFO - Computed 'shift' fit for GROUP ID: det_image_seq4_MIRIMAGE_F770Wexp1_cal:
2021-10-05 16:04:37,102 - stpipe.Image3Pipeline.tweakreg - INFO - XSH: 0.00566956 YSH: 0.00118207
2021-10-05 16:04:37,103 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:37,103 - stpipe.Image3Pipeline.tweakreg - INFO - FIT RMSE: 0.0314286 FIT MAE: 0.0153639
2021-10-05 16:04:37,104 - stpipe.Image3Pipeline.tweakreg - INFO - Final solution based on 25 objects.
2021-10-05 16:04:37,144 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:37,145 - stpipe.Image3Pipeline.tweakreg - INFO - ***** tweakwcs.imalign.align_wcs() ended on 2021-10-05 16:04:37.144276
2021-10-05 16:04:37,145 - stpipe.Image3Pipeline.tweakreg - INFO - ***** tweakwcs.imalign.align_wcs() TOTAL RUN TIME: 0:00:00.550956
2021-10-05 16:04:37,146 - stpipe.Image3Pipeline.tweakreg - INFO -
2021-10-05 16:04:37,291 - stpipe.Image3Pipeline.tweakreg - INFO - Step tweakreg done
2021-10-05 16:04:37,433 - stpipe.Image3Pipeline.skymatch - INFO - Step skymatch running with args (<ModelContainer>,).
2021-10-05 16:04:37,436 - stpipe.Image3Pipeline.skymatch - INFO - Step skymatch parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': False, 'skip': False, 'suffix': None, 'search_output_file': True, 'input_dir': '', 'skymethod': 'global+match', 'match_down': True, 'subtract': False, 'stepsize': None, 'skystat': 'mode', 'dqbits': '0', 'lower': None, 'upper': None, 'nclip': 5, 'lsigma': 4.0, 'usigma': 4.0, 'binwidth': 0.1}
2021-10-05 16:04:37,468 - stpipe.Image3Pipeline.skymatch - INFO -
2021-10-05 16:04:37,470 - stpipe.Image3Pipeline.skymatch - INFO - ***** jwst.skymatch.skymatch.match() started on 2021-10-05 16:04:37.468933
2021-10-05 16:04:37,470 - stpipe.Image3Pipeline.skymatch - INFO -
2021-10-05 16:04:37,471 - stpipe.Image3Pipeline.skymatch - INFO - Sky computation method: 'global+match'
2021-10-05 16:04:37,471 - stpipe.Image3Pipeline.skymatch - INFO - Sky matching direction: DOWN
2021-10-05 16:04:37,472 - stpipe.Image3Pipeline.skymatch - INFO - Sky subtraction from image data: OFF
2021-10-05 16:04:37,473 - stpipe.Image3Pipeline.skymatch - INFO -
2021-10-05 16:04:37,473 - stpipe.Image3Pipeline.skymatch - INFO - ---- Computing differences in sky values in overlapping regions.
2021-10-05 16:04:38,968 - stpipe.Image3Pipeline.skymatch - INFO - * Image ID=det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 0
2021-10-05 16:04:38,969 - stpipe.Image3Pipeline.skymatch - INFO - * Image ID=det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 0.00635001
2021-10-05 16:04:38,970 - stpipe.Image3Pipeline.skymatch - INFO - * Image ID=det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 0.000689217
2021-10-05 16:04:38,971 - stpipe.Image3Pipeline.skymatch - INFO - * Image ID=det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 0.00184557
2021-10-05 16:04:38,971 - stpipe.Image3Pipeline.skymatch - INFO -
2021-10-05 16:04:38,972 - stpipe.Image3Pipeline.skymatch - INFO - ---- Computing "global" sky - smallest sky value across *all* input images.
2021-10-05 16:04:39,057 - stpipe.Image3Pipeline.skymatch - INFO -
2021-10-05 16:04:39,058 - stpipe.Image3Pipeline.skymatch - INFO - "Global" sky value correction: 3.6572172979959565 [not converted]
2021-10-05 16:04:39,059 - stpipe.Image3Pipeline.skymatch - INFO -
2021-10-05 16:04:39,060 - stpipe.Image3Pipeline.skymatch - INFO - ---- Final (match+global) sky for:
2021-10-05 16:04:39,060 - stpipe.Image3Pipeline.skymatch - INFO - * Image ID=det_image_seq1_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 3.65722 (old=0, delta=3.65722)
2021-10-05 16:04:39,061 - stpipe.Image3Pipeline.skymatch - INFO - * Image ID=det_image_seq2_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 3.66357 (old=0.00635001, delta=3.65722)
2021-10-05 16:04:39,062 - stpipe.Image3Pipeline.skymatch - INFO - * Image ID=det_image_seq3_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 3.65791 (old=0.000689217, delta=3.65722)
2021-10-05 16:04:39,063 - stpipe.Image3Pipeline.skymatch - INFO - * Image ID=det_image_seq4_MIRIMAGE_F770Wexp1_cal.fits. Sky background: 3.65906 (old=0.00184557, delta=3.65722)
2021-10-05 16:04:39,063 - stpipe.Image3Pipeline.skymatch - INFO -
2021-10-05 16:04:39,064 - stpipe.Image3Pipeline.skymatch - INFO - ***** jwst.skymatch.skymatch.match() ended on 2021-10-05 16:04:39.063784
2021-10-05 16:04:39,065 - stpipe.Image3Pipeline.skymatch - INFO - ***** jwst.skymatch.skymatch.match() TOTAL RUN TIME: 0:00:01.594851
2021-10-05 16:04:39,065 - stpipe.Image3Pipeline.skymatch - INFO -
2021-10-05 16:04:39,073 - stpipe.Image3Pipeline.skymatch - INFO - Step skymatch done
2021-10-05 16:04:39,271 - stpipe.Image3Pipeline.outlier_detection - INFO - Step outlier_detection running with args (<ModelContainer>,).
2021-10-05 16:04:39,278 - stpipe.Image3Pipeline.outlier_detection - INFO - Step outlier_detection parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'crf', 'search_output_file': False, 'input_dir': '', 'weight_type': 'ivm', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'nlow': 0, 'nhigh': 0, 'maskpt': 0.7, 'grow': 1, 'snr': '5.0 4.0', 'scale': '1.2 0.7', 'backg': 0.0, 'save_intermediate_results': False, 'resample_data': True, 'good_bits': '~DO_NOT_USE', 'scale_detection': False, 'allowed_memory': None}
2021-10-05 16:04:39,283 - stpipe.Image3Pipeline.outlier_detection - INFO - Performing outlier detection on 4 inputs
2021-10-05 16:04:40,153 - stpipe.Image3Pipeline.outlier_detection - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:41,631 - stpipe.Image3Pipeline.outlier_detection - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:43,141 - stpipe.Image3Pipeline.outlier_detection - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:44,600 - stpipe.Image3Pipeline.outlier_detection - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:45,455 - stpipe.Image3Pipeline.outlier_detection - INFO - Generating median from 4 images
2021-10-05 16:04:46,101 - stpipe.Image3Pipeline.outlier_detection - INFO - Blotting median...
2021-10-05 16:04:46,844 - stpipe.Image3Pipeline.outlier_detection - INFO - Blotting (1024, 1032) <-- (1142, 1111)
2021-10-05 16:04:47,853 - stpipe.Image3Pipeline.outlier_detection - INFO - Blotting (1024, 1032) <-- (1142, 1111)
2021-10-05 16:04:48,919 - stpipe.Image3Pipeline.outlier_detection - INFO - Blotting (1024, 1032) <-- (1142, 1111)
2021-10-05 16:04:49,957 - stpipe.Image3Pipeline.outlier_detection - INFO - Blotting (1024, 1032) <-- (1142, 1111)
2021-10-05 16:04:50,205 - stpipe.Image3Pipeline.outlier_detection - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/jwst/outlier_detection/outlier_detection.py:422: RuntimeWarning: overflow encountered in multiply
t2 = scl1 * blot_deriv + snr1 * err_data
2021-10-05 16:04:50,235 - stpipe.Image3Pipeline.outlier_detection - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/jwst/outlier_detection/outlier_detection.py:433: RuntimeWarning: overflow encountered in multiply
mask_2ndpass = scl2 * blot_deriv + snr2 * err_data
2021-10-05 16:04:51,047 - stpipe.Image3Pipeline.outlier_detection - INFO - Saved model in det_image_seq1_MIRIMAGE_F770Wexp1_a3001_crf.fits
2021-10-05 16:04:51,278 - stpipe.Image3Pipeline.outlier_detection - INFO - Saved model in det_image_seq2_MIRIMAGE_F770Wexp1_a3001_crf.fits
2021-10-05 16:04:51,728 - stpipe.Image3Pipeline.outlier_detection - INFO - Saved model in det_image_seq3_MIRIMAGE_F770Wexp1_a3001_crf.fits
2021-10-05 16:04:51,964 - stpipe.Image3Pipeline.outlier_detection - INFO - Saved model in det_image_seq4_MIRIMAGE_F770Wexp1_a3001_crf.fits
2021-10-05 16:04:51,966 - stpipe.Image3Pipeline.outlier_detection - INFO - Step outlier_detection done
2021-10-05 16:04:52,072 - stpipe.Image3Pipeline.resample - INFO - Step resample running with args (<ModelContainer>,).
2021-10-05 16:04:52,074 - stpipe.Image3Pipeline.resample - INFO - Step resample parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'i2d', 'search_output_file': True, 'input_dir': '', 'pixfrac': 1.0, 'kernel': 'square', 'fillval': 'INDEF', 'weight_type': 'ivm', 'pixel_scale_ratio': 1.0, 'single': False, 'blendheaders': True, 'allowed_memory': None}
2021-10-05 16:04:52,088 - stpipe.Image3Pipeline.resample - INFO - Drizpars reference file: /grp/crds/cache/references/jwst/jwst_miri_drizpars_0001.fits
2021-10-05 16:04:52,215 - stpipe.Image3Pipeline.resample - INFO - Blending metadata for starfield_combined.fits
2021-10-05 16:04:52,770 - stpipe.Image3Pipeline.resample - INFO - Resampling science data
2021-10-05 16:04:53,372 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:54,652 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:56,004 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:57,305 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:57,849 - stpipe.Image3Pipeline.resample - INFO - Resampling var_rnoise
2021-10-05 16:04:58,450 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:04:59,753 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:01,058 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:02,358 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:02,891 - stpipe.Image3Pipeline.resample - INFO - Resampling var_poisson
2021-10-05 16:05:03,480 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:04,780 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:06,075 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:07,429 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:07,968 - stpipe.Image3Pipeline.resample - INFO - Resampling var_flat
2021-10-05 16:05:08,613 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:09,964 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:11,384 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:12,725 - stpipe.Image3Pipeline.resample - INFO - Drizzling (1024, 1032) --> (1142, 1111)
2021-10-05 16:05:13,265 - stpipe.Image3Pipeline.resample - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/gwcs/utils.py:72: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
indx = np.asarray(np.floor(np.asarray(value) + 0.5), dtype=np.int)
2021-10-05 16:05:13,268 - stpipe.Image3Pipeline.resample - INFO - Update S_REGION to POLYGON ICRS 0.021513693 -0.020379196 0.024586829 0.014639909 359.990548994 0.017626933 359.987475858 -0.017392172
2021-10-05 16:05:13,670 - stpipe.Image3Pipeline.resample - INFO - Saved model in starfield_combined_i2d.fits
2021-10-05 16:05:13,671 - stpipe.Image3Pipeline.resample - INFO - Step resample done
2021-10-05 16:05:13,819 - stpipe.Image3Pipeline.source_catalog - INFO - Step source_catalog running with args (<ImageModel(1142, 1111) from starfield_combined_i2d.fits>,).
2021-10-05 16:05:13,821 - stpipe.Image3Pipeline.source_catalog - INFO - Step source_catalog parameters are: {'pre_hooks': [], 'post_hooks': [], 'output_file': None, 'output_dir': None, 'output_ext': '.fits', 'output_use_model': False, 'output_use_index': True, 'save_results': True, 'skip': False, 'suffix': 'cat', 'search_output_file': True, 'input_dir': '', 'bkg_boxsize': 100, 'kernel_fwhm': 2.187, 'snr_threshold': 8, 'npixels': 5, 'deblend': False, 'aperture_ee1': 30, 'aperture_ee2': 50, 'aperture_ee3': 70, 'ci1_star_threshold': 2.0, 'ci2_star_threshold': 1.8}
2021-10-05 16:05:13,839 - stpipe.Image3Pipeline.source_catalog - INFO - Using APCORR reference file /grp/crds/cache/references/jwst/jwst_miri_apcorr_0005.fits
2021-10-05 16:05:13,848 - stpipe.Image3Pipeline.source_catalog - INFO - Using ABVEGAOFFSET reference file /grp/crds/cache/references/jwst/jwst_miri_abvegaoffset_0001.asdf
2021-10-05 16:05:13,849 - stpipe.Image3Pipeline.source_catalog - INFO - Instrument: MIRI
2021-10-05 16:05:13,849 - stpipe.Image3Pipeline.source_catalog - INFO - Detector: MIRIMAGE
2021-10-05 16:05:13,850 - stpipe.Image3Pipeline.source_catalog - INFO - Filter: F770W
2021-10-05 16:05:13,851 - stpipe.Image3Pipeline.source_catalog - INFO - Subarray: FULL
2021-10-05 16:05:13,891 - stpipe.Image3Pipeline.source_catalog - INFO - AB to Vega magnitude offset 4.38398
2021-10-05 16:05:14,383 - stpipe.Image3Pipeline.source_catalog - INFO - Detected 562 sources
2021-10-05 16:05:15,026 - stpipe.Image3Pipeline.source_catalog - INFO - Wrote source catalog: starfield_combined_cat.ecsv
2021-10-05 16:05:15,121 - stpipe.Image3Pipeline.source_catalog - INFO - Saved model in starfield_combined_segm.fits
2021-10-05 16:05:15,123 - stpipe.Image3Pipeline.source_catalog - INFO - Wrote segmentation map: starfield_combined_segm.fits
2021-10-05 16:05:15,124 - stpipe.Image3Pipeline.source_catalog - INFO - Step source_catalog done
2021-10-05 16:05:15,126 - stpipe.Image3Pipeline - INFO - Step Image3Pipeline done
Image 3 pipeline finished.
photfile = 'starfield_combined_cat.ecsv'
input_file = 'starfield_combined_i2d.fits'
# Look at subset of table with full columns
# If you have negative fluxes or repeated values of xcentroid or ycentroid, you may be finding spurious sources at image edges
data = table.Table.read(photfile, format='ascii', comment='#')
smalltable = data['label', 'xcentroid', 'ycentroid','aper30_flux', 'aper50_flux', 'aper70_flux', 'CI_50_30', 'CI_70_50','aper_total_flux']
smalltable.pprint_all()
#print(smalltable)
label xcentroid ycentroid aper30_flux aper50_flux aper70_flux CI_50_30 CI_70_50 aper_total_flux
Jy Jy Jy Jy
----- --------- --------- ------------- ------------- ------------- -------- -------- ---------------
1 762.5591 10.1400 1.472476e-07 3.022857e-07 1.361551e-06 2.0529 4.5042 1.995638e-06
2 664.1054 9.6365 8.825641e-07 1.450177e-06 1.394186e-06 1.6431 0.9614 2.043472e-06
3 789.2974 21.2154 2.410486e-06 4.633608e-06 1.490815e-05 1.9223 3.2174 2.185101e-05
4 761.5630 17.2489 4.784624e-07 8.159716e-07 1.572082e-06 1.7054 1.9266 2.304215e-06
5 683.5598 19.0768 3.490617e-06 5.739560e-06 9.361497e-06 1.6443 1.6310 1.372123e-05
6 550.7261 23.1842 1.068359e-06 2.086601e-06 6.515162e-06 1.9531 3.1224 9.549332e-06
7 564.1992 20.3731 3.855958e-07 7.306628e-07 2.073629e-06 1.8949 2.8380 3.039337e-06
8 752.7783 25.2594 6.398899e-07 1.135557e-06 2.162081e-06 1.7746 1.9040 3.168982e-06
9 535.8723 28.3799 3.955423e-07 6.976143e-07 1.979629e-06 1.7637 2.8377 2.901561e-06
10 812.8288 28.1908 7.492147e-07 1.271307e-06 1.871499e-06 1.6969 1.4721 2.743074e-06
11 525.8352 28.7696 4.839542e-07 9.016738e-07 2.422494e-06 1.8631 2.6867 3.550671e-06
12 711.3489 37.9951 3.622981e-06 6.303457e-06 1.048909e-05 1.7399 1.6640 1.537395e-05
13 782.0476 36.5025 5.549917e-07 8.973847e-07 1.212271e-06 1.6169 1.3509 1.776836e-06
14 765.9125 42.6063 3.101982e-05 5.168682e-05 8.504749e-05 1.6663 1.6454 1.246549e-04
15 846.5180 38.7619 9.854656e-07 1.618781e-06 2.806051e-06 1.6427 1.7334 4.112855e-06
16 548.2944 39.4886 1.758829e-06 2.822968e-06 4.851513e-06 1.6050 1.7186 7.110907e-06
17 704.0009 44.2897 6.558593e-07 1.123572e-06 1.629027e-06 1.7131 1.4499 2.387680e-06
18 353.3239 46.2296 2.917679e-06 5.061173e-06 8.842328e-06 1.7347 1.7471 1.296028e-05
19 875.1809 47.1587 1.929629e-06 3.371037e-06 5.815463e-06 1.7470 1.7251 8.523777e-06
20 692.3250 48.6368 1.069070e-06 1.711682e-06 2.839970e-06 1.6011 1.6592 4.162570e-06
21 580.3110 58.2687 9.354059e-06 1.613228e-05 4.166472e-05 1.7246 2.5827 6.106835e-05
22 555.5772 51.7797 1.163709e-06 1.898558e-06 3.069116e-06 1.6315 1.6166 4.498431e-06
23 677.7253 53.6654 7.750423e-07 1.292532e-06 2.380368e-06 1.6677 1.8416 3.488927e-06
24 382.7756 54.5892 1.105485e-06 1.796282e-06 3.091947e-06 1.6249 1.7213 4.531895e-06
25 953.2536 60.2619 6.604886e-06 1.122728e-05 1.902214e-05 1.6998 1.6943 2.788093e-05
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195 1016.9805 493.4263 8.844854e-07 1.484751e-06 2.450722e-06 1.6787 1.6506 3.592045e-06
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197 461.3783 496.9925 9.840734e-07 1.690783e-06 2.698903e-06 1.7181 1.5962 3.955806e-06
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201 742.7281 498.9921 5.822068e-07 1.031472e-06 1.738427e-06 1.7717 1.6854 2.548028e-06
202 798.9605 505.7877 3.787520e-07 6.936201e-07 1.645147e-06 1.8313 2.3718 2.411306e-06
203 437.0112 512.3871 1.250982e-06 2.298199e-06 6.102317e-06 1.8371 2.6553 8.944222e-06
204 628.8156 510.9938 6.946712e-07 1.217334e-06 2.050053e-06 1.7524 1.6841 3.004781e-06
205 583.8900 515.8057 1.883176e-06 3.293687e-06 5.649031e-06 1.7490 1.7151 8.279835e-06
206 761.3879 515.4376 7.083902e-07 1.142794e-06 2.044092e-06 1.6132 1.7887 2.996044e-06
207 717.8479 515.8461 4.029400e-07 7.148025e-07 1.357434e-06 1.7740 1.8990 1.989603e-06
208 1099.1415 516.6847 6.423682e-07 1.173067e-06 3.074090e-06 1.8262 2.6206 4.505722e-06
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210 1049.1085 517.9308 2.205183e-06 3.941460e-06 6.408634e-06 1.7874 1.6260 9.393193e-06
211 372.0983 518.4348 8.870412e-07 1.455661e-06 2.401536e-06 1.6410 1.6498 3.519953e-06
212 1059.5807 528.1882 1.129302e-06 2.200865e-06 8.434653e-06 1.9489 3.8324 1.236275e-05
213 392.9879 524.9577 6.246474e-06 1.141913e-05 1.965464e-05 1.8281 1.7212 2.880799e-05
214 607.3129 525.2148 6.985121e-07 1.183771e-06 2.147417e-06 1.6947 1.8140 3.147489e-06
215 416.5400 526.6938 1.527826e-06 2.394692e-06 3.832003e-06 1.5674 1.6002 5.616601e-06
216 530.2999 526.4925 1.272405e-06 2.078645e-06 3.617915e-06 1.6336 1.7405 5.302811e-06
217 898.8514 527.6179 1.300560e-06 2.236709e-06 3.915575e-06 1.7198 1.7506 5.739094e-06
218 699.5455 527.8453 4.462868e-07 7.850211e-07 1.787205e-06 1.7590 2.2766 2.619523e-06
219 484.4355 532.1441 6.174844e-06 1.021593e-05 1.711087e-05 1.6544 1.6749 2.507956e-05
220 701.5988 536.1316 1.656827e-06 2.788361e-06 4.705577e-06 1.6830 1.6876 6.897007e-06
221 842.9254 535.7958 1.059456e-06 1.856385e-06 3.099921e-06 1.7522 1.6699 4.543582e-06
222 892.8460 540.9115 5.929889e-06 1.041492e-05 1.737406e-05 1.7563 1.6682 2.546532e-05
223 704.9537 554.1217 1.976915e-06 3.825953e-06 1.230672e-05 1.9353 3.2166 1.803807e-05
224 1083.3291 543.0299 7.507827e-07 1.285735e-06 1.967207e-06 1.7125 1.5300 2.883354e-06
225 440.9811 571.4050 2.162861e-06 4.561564e-06 1.735943e-05 2.1090 3.8056 2.544387e-05
226 707.5503 545.5086 4.944482e-07 7.990864e-07 1.437939e-06 1.6161 1.7995 2.107600e-06
227 906.2020 549.2144 7.108854e-06 1.237144e-05 2.157029e-05 1.7403 1.7436 3.161577e-05
228 384.6749 547.0403 5.464861e-07 9.623415e-07 1.765527e-06 1.7610 1.8346 2.587749e-06
229 642.4183 547.9177 4.826040e-07 8.860994e-07 2.363627e-06 1.8361 2.6675 3.464390e-06
230 996.2439 548.5612 8.730793e-07 1.474103e-06 2.570115e-06 1.6884 1.7435 3.767041e-06
231 1087.4426 551.5203 7.180647e-07 1.213406e-06 2.378683e-06 1.6898 1.9603 3.486458e-06
232 579.0870 553.3485 6.989424e-07 1.179469e-06 1.943750e-06 1.6875 1.6480 2.848972e-06
233 1093.6928 556.8592 8.306240e-06 1.404952e-05 2.358526e-05 1.6914 1.6787 3.456913e-05
234 615.3720 557.8929 2.780884e-06 4.755752e-06 8.167274e-06 1.7102 1.7173 1.197085e-05
235 978.0021 556.4233 1.060817e-06 1.789044e-06 3.056565e-06 1.6865 1.7085 4.480035e-06
236 1027.8675 557.0685 2.135682e-06 3.796863e-06 6.383729e-06 1.7778 1.6813 9.356690e-06
237 729.4916 557.9917 4.468098e-07 7.605919e-07 1.328198e-06 1.7023 1.7463 1.946752e-06
238 528.3534 559.9004 6.715067e-07 1.154175e-06 2.027228e-06 1.7188 1.7564 2.971327e-06
239 406.0336 562.0656 9.672680e-07 1.743327e-06 2.915725e-06 1.8023 1.6725 4.273604e-06
240 935.1284 562.2196 1.364500e-06 2.343343e-06 3.995364e-06 1.7174 1.7050 5.856041e-06
241 955.2524 563.6259 3.205848e-06 5.393301e-06 9.295242e-06 1.6823 1.7235 1.362412e-05
242 528.1582 566.6674 5.533315e-07 9.518066e-07 1.715681e-06 1.7201 1.8026 2.514689e-06
243 460.6140 573.3491 4.753606e-06 7.903134e-06 1.400299e-05 1.6626 1.7718 2.052430e-05
244 998.0125 577.9743 4.147859e-07 7.534170e-07 1.417357e-06 1.8164 1.8812 2.077433e-06
245 596.3493 582.3753 6.768567e-07 1.125410e-06 1.793707e-06 1.6627 1.5938 2.629053e-06
246 635.4354 592.8998 1.164559e-06 1.952348e-06 3.347950e-06 1.6765 1.7148 4.907120e-06
247 885.7043 593.3575 1.462117e-06 2.393468e-06 4.111139e-06 1.6370 1.7176 6.025734e-06
248 865.3849 598.2282 4.805951e-07 1.018142e-06 1.406780e-05 2.1185 13.8171 2.061930e-05
249 948.8180 594.6982 1.083931e-06 1.826749e-06 3.097923e-06 1.6853 1.6959 4.540654e-06
250 350.8917 601.5574 1.273928e-06 2.097303e-06 3.142620e-06 1.6463 1.4984 4.606167e-06
251 920.2834 604.1897 7.630302e-07 1.309118e-06 2.283473e-06 1.7157 1.7443 3.346907e-06
252 843.0079 605.0082 3.915467e-07 6.998783e-07 1.027326e-06 1.7875 1.4679 1.505762e-06
253 650.1583 605.8284 3.846587e-07 6.995751e-07 1.467963e-06 1.8187 2.0984 2.151606e-06
254 1075.2744 609.2024 1.366794e-05 2.349863e-05 3.939563e-05 1.7193 1.6765 5.774253e-05
255 478.6146 609.5505 5.927022e-07 9.853769e-07 1.775427e-06 1.6625 1.8018 2.602259e-06
256 497.2092 610.9301 8.865748e-07 1.571110e-06 2.645898e-06 1.7721 1.6841 3.878116e-06
257 730.7586 619.4851 1.203164e-06 2.369441e-06 2.340146e-05 1.9693 9.8764 3.429973e-05
258 522.5024 616.5210 1.418287e-06 2.195979e-06 3.678387e-06 1.5483 1.6751 5.391446e-06
259 611.2242 615.3892 4.854932e-07 7.928464e-07 1.339209e-06 1.6331 1.6891 1.962891e-06
260 444.2796 620.2154 1.263264e-06 2.160454e-06 3.975927e-06 1.7102 1.8403 5.827552e-06
261 848.8038 619.6574 7.439811e-07 1.235488e-06 2.103540e-06 1.6606 1.7026 3.083178e-06
262 1090.7847 627.6813 1.164332e-06 2.290694e-06 7.548599e-06 1.9674 3.2953 1.106405e-05
263 573.1348 630.7271 5.329661e-06 1.077877e-05 3.345643e-05 2.0224 3.1039 4.903739e-05
264 591.8599 630.6319 5.284633e-07 9.142655e-07 1.696777e-06 1.7300 1.8559 2.486981e-06
265 995.7716 633.4340 5.430099e-06 8.897993e-06 1.524475e-05 1.6386 1.7133 2.234437e-05
266 438.6616 633.8834 5.520930e-07 9.695919e-07 1.692092e-06 1.7562 1.7452 2.480114e-06
267 553.1977 634.5203 6.478304e-07 1.065786e-06 1.928691e-06 1.6452 1.8096 2.826900e-06
268 403.9891 641.2901 4.598231e-06 8.136141e-06 1.419512e-05 1.7694 1.7447 2.080592e-05
269 733.9859 640.7451 5.273471e-07 9.195607e-07 1.609704e-06 1.7437 1.7505 2.359358e-06
270 767.8727 642.1242 4.601128e-07 8.104940e-07 1.315246e-06 1.7615 1.6228 1.927767e-06
271 887.2971 642.9883 5.154430e-07 8.854305e-07 1.514097e-06 1.7178 1.7100 2.219226e-06
272 993.5461 646.2264 1.701946e-06 2.999225e-06 6.987304e-06 1.7622 2.3297 1.024136e-05
273 750.7112 646.5852 6.679819e-07 1.102032e-06 2.329995e-06 1.6498 2.1143 3.415094e-06
274 932.7033 646.8656 1.079106e-06 1.853280e-06 3.150654e-06 1.7174 1.7000 4.617941e-06
275 736.3223 647.5856 5.930244e-07 9.837064e-07 1.853369e-06 1.6588 1.8841 2.716499e-06
276 574.8276 653.1666 1.099040e-05 1.917311e-05 3.195214e-05 1.7445 1.6665 4.683254e-05
277 939.6928 655.4641 6.849673e-07 1.142675e-06 1.947610e-06 1.6682 1.7044 2.854630e-06
278 553.5617 660.2073 8.644389e-06 1.556155e-05 3.504228e-05 1.8002 2.2519 5.136179e-05
279 369.0852 662.9524 3.921469e-06 6.998350e-06 1.149310e-05 1.7846 1.6423 1.684554e-05
280 1075.3687 663.2074 4.495295e-06 7.514333e-06 1.259221e-05 1.6716 1.6758 1.845652e-05
281 867.9770 662.0137 4.375064e-07 8.151217e-07 1.312585e-06 1.8631 1.6103 1.923867e-06
282 765.4013 664.6568 2.191778e-06 3.476211e-06 5.719839e-06 1.5860 1.6454 8.383619e-06
283 999.8459 669.1701 5.081858e-06 8.899048e-06 1.518010e-05 1.7511 1.7058 2.224961e-05
284 653.9341 671.5042 5.312246e-07 8.902667e-07 1.798868e-06 1.6759 2.0206 2.636618e-06
285 840.5064 683.0967 7.566606e-06 1.271044e-05 2.200987e-05 1.6798 1.7316 3.226006e-05
286 663.2306 682.2477 1.130347e-06 1.967941e-06 3.413593e-06 1.7410 1.7346 5.003335e-06
287 797.3175 693.1624 2.792897e-05 4.792467e-05 8.347798e-05 1.7159 1.7419 1.223544e-04
288 752.2264 693.3862 2.086073e-06 3.831801e-06 1.020556e-05 1.8368 2.6634 1.495839e-05
289 522.7721 690.4401 1.095945e-06 1.804001e-06 3.334152e-06 1.6461 1.8482 4.886897e-06
290 729.5069 694.7542 7.235818e-07 1.173298e-06 2.091909e-06 1.6215 1.7829 3.066130e-06
291 770.1476 695.7011 3.805512e-07 6.742479e-07 1.481811e-06 1.7718 2.1977 2.171903e-06
292 651.4908 700.9142 2.208912e-06 4.208539e-06 1.242152e-05 1.9053 2.9515 1.820633e-05
293 761.9193 708.0234 1.127310e-06 2.035120e-06 3.346513e-06 1.8053 1.6444 4.905015e-06
294 742.5958 715.4023 1.723777e-05 2.821412e-05 5.036831e-05 1.6368 1.7852 7.382529e-05
295 804.6287 712.0139 3.866350e-07 7.388726e-07 2.010429e-06 1.9110 2.7209 2.946704e-06
296 837.9471 714.6689 3.180798e-06 5.856551e-06 1.220883e-05 1.8412 2.0846 1.789459e-05
297 990.9867 711.6852 5.579774e-07 9.480248e-07 1.504802e-06 1.6990 1.5873 2.205602e-06
298 792.9712 713.2250 4.769568e-07 8.460763e-07 1.531395e-06 1.7739 1.8100 2.244580e-06
299 1080.9588 713.2321 8.750119e-07 1.534525e-06 2.637723e-06 1.7537 1.7189 3.866134e-06
300 591.4172 718.5885 5.938477e-06 9.520043e-06 1.645418e-05 1.6031 1.7284 2.411704e-05
301 511.4154 722.9925 1.167666e-06 2.128330e-06 5.429547e-06 1.8227 2.5511 7.958136e-06
302 574.9729 727.3081 3.690910e-07 6.990574e-07 1.742232e-06 1.8940 2.4923 2.553605e-06
303 683.6020 734.3985 7.526590e-06 1.353499e-05 3.405839e-05 1.7983 2.5163 4.991969e-05
304 966.6563 730.3519 6.096653e-06 9.780254e-06 1.646730e-05 1.6042 1.6837 2.413627e-05
305 396.2878 735.2615 4.503751e-06 8.143474e-06 2.207127e-05 1.8082 2.7103 3.235007e-05
306 757.0181 731.0182 4.844602e-07 8.697006e-07 1.334575e-06 1.7952 1.5345 1.956098e-06
307 659.7249 734.4019 1.163818e-06 1.972454e-06 3.583557e-06 1.6948 1.8168 5.252452e-06
308 773.1273 765.7812 5.542517e-08 1.047884e-07 1.676052e-06 1.8906 15.9946 2.456605e-06
309 801.4454 733.5106 9.495919e-07 1.518737e-06 2.759363e-06 1.5994 1.8169 4.044424e-06
310 990.6447 733.0727 7.948682e-07 1.355607e-06 2.227753e-06 1.7054 1.6434 3.265238e-06
311 615.7962 740.7160 3.921873e-07 7.757062e-07 3.155818e-06 1.9779 4.0683 4.625511e-06
312 794.9681 735.6926 4.997133e-07 8.792499e-07 1.523284e-06 1.7595 1.7325 2.232692e-06
313 571.5038 737.9731 5.810935e-07 9.761934e-07 1.587524e-06 1.6799 1.6262 2.326849e-06
314 991.0238 738.8709 7.619273e-07 1.369296e-06 2.297630e-06 1.7971 1.6780 3.367657e-06
315 423.1430 741.9258 3.475424e-06 6.217080e-06 1.055887e-05 1.7889 1.6984 1.547624e-05
316 816.9392 743.5045 1.186456e-06 2.007347e-06 3.394267e-06 1.6919 1.6909 4.975009e-06
317 840.2257 746.1830 1.675019e-06 2.899832e-06 5.111876e-06 1.7312 1.7628 7.492523e-06
318 1013.8000 747.7081 5.547102e-06 9.436678e-06 1.651632e-05 1.7012 1.7502 2.420812e-05
319 359.1732 747.0230 1.280511e-06 2.261806e-06 3.774274e-06 1.7663 1.6687 5.531987e-06
320 702.0045 748.6977 5.408585e-07 9.433697e-07 1.667989e-06 1.7442 1.7681 2.444786e-06
321 793.9419 750.7006 4.403727e-07 7.576151e-07 1.329602e-06 1.7204 1.7550 1.948809e-06
322 475.9609 752.4952 5.513071e-07 9.135380e-07 1.528140e-06 1.6570 1.6728 2.239809e-06
323 936.4915 758.7845 9.433242e-07 1.542154e-06 2.654361e-06 1.6348 1.7212 3.890522e-06
324 858.3842 762.8049 4.428927e-07 7.605038e-07 1.399546e-06 1.7171 1.8403 2.051327e-06
325 617.4582 766.9672 1.164504e-06 1.983454e-06 3.397728e-06 1.7033 1.7130 4.980081e-06
326 316.8894 769.8096 6.427030e-06 1.158525e-05 2.047556e-05 1.8026 1.7674 3.001121e-05
327 147.5646 770.3751 9.246037e-07 1.443987e-06 2.111618e-06 1.5617 1.4624 3.095018e-06
328 59.2955 778.4689 1.493180e-05 2.612277e-05 6.040319e-05 1.7495 2.3123 8.853350e-05
329 198.4388 775.0367 1.692685e-06 2.745992e-06 3.147230e-06 1.6223 1.1461 4.612924e-06
330 733.1472 777.9690 7.818483e-07 1.557317e-06 5.206091e-06 1.9918 3.3430 7.630615e-06
331 997.1961 783.0435 1.883143e-06 3.615734e-06 1.040865e-05 1.9201 2.8787 1.525606e-05
332 3.8558 781.6055 1.789359e-05 3.339571e-05 9.253926e-05 1.8664 2.7710 1.356356e-04
333 561.1139 779.8429 1.965394e-06 3.447458e-06 5.546584e-06 1.7541 1.6089 8.129679e-06
334 507.9549 780.7351 1.768108e-06 3.028302e-06 4.931686e-06 1.7127 1.6285 7.228416e-06
335 843.9169 780.9208 1.782437e-06 3.235046e-06 5.425855e-06 1.8150 1.6772 7.952725e-06
336 979.3186 781.3404 9.171990e-07 1.552645e-06 2.756444e-06 1.6928 1.7753 4.040144e-06
337 1096.3975 781.2145 6.365427e-07 1.071195e-06 1.677886e-06 1.6828 1.5664 2.459293e-06
338 702.1720 786.5660 1.214062e-06 2.030441e-06 3.412176e-06 1.6724 1.6805 5.001257e-06
339 491.6536 790.2733 1.587023e-06 2.581423e-06 4.201592e-06 1.6266 1.6276 6.158311e-06
340 560.9937 792.8077 1.117631e-05 1.976355e-05 3.286865e-05 1.7683 1.6631 4.817587e-05
341 20.6344 795.1183 1.468529e-05 2.461573e-05 3.998556e-05 1.6762 1.6244 5.860719e-05
342 1097.7488 792.6811 3.705374e-06 6.110719e-06 9.951685e-06 1.6492 1.6286 1.458628e-05
343 582.6336 794.0644 4.534311e-06 7.640472e-06 1.253928e-05 1.6850 1.6412 1.837894e-05
344 480.1237 794.1652 1.543248e-06 2.680350e-06 4.337336e-06 1.7368 1.6182 6.357273e-06
345 615.6113 792.7839 4.593026e-07 7.851541e-07 1.337408e-06 1.7094 1.7034 1.960251e-06
346 306.5428 796.1269 4.429618e-06 7.399578e-06 1.290035e-05 1.6705 1.7434 1.890817e-05
347 695.1926 794.9700 7.282356e-07 1.286817e-06 2.059175e-06 1.7670 1.6002 3.018152e-06
348 152.2455 796.4550 9.510295e-07 1.569690e-06 2.769752e-06 1.6505 1.7645 4.059650e-06
349 570.2585 802.4920 2.590370e-05 4.192868e-05 7.123340e-05 1.6186 1.6989 1.044074e-04
350 1018.4033 798.6624 1.104671e-06 1.828175e-06 3.219415e-06 1.6550 1.7610 4.718725e-06
351 539.9242 800.7117 4.492677e-06 7.715490e-06 1.281425e-05 1.7173 1.6608 1.878197e-05
352 426.5888 800.8627 1.974039e-06 3.320481e-06 5.777476e-06 1.6821 1.7400 8.468099e-06
353 917.8544 802.4035 7.166906e-07 1.318194e-06 3.352231e-06 1.8393 2.5430 4.913395e-06
354 625.6312 803.4803 2.661241e-06 4.204811e-06 7.147281e-06 1.5800 1.6998 1.047583e-05
355 872.0703 806.2863 1.806690e-05 3.217232e-05 5.634137e-05 1.7807 1.7512 8.258005e-05
356 933.0919 806.3731 1.618412e-06 3.223735e-06 1.277931e-05 1.9919 3.9641 1.873075e-05
357 229.1199 804.1711 6.461347e-07 1.154978e-06 1.912227e-06 1.7875 1.6556 2.802769e-06
358 314.1301 806.6693 6.182372e-07 1.010810e-06 1.734603e-06 1.6350 1.7161 2.542423e-06
359 615.5303 808.8929 7.929030e-06 1.344391e-05 2.361943e-05 1.6955 1.7569 3.461922e-05
360 857.3374 813.7207 9.007302e-06 1.686900e-05 4.190045e-05 1.8728 2.4839 6.141387e-05
361 371.4998 807.9431 5.167478e-07 8.542317e-07 1.604688e-06 1.6531 1.8785 2.352006e-06
362 468.6274 808.3938 1.176427e-06 1.872201e-06 3.216860e-06 1.5914 1.7182 4.714980e-06
363 717.0157 810.9785 6.618602e-07 1.192648e-06 1.945384e-06 1.8020 1.6311 2.851367e-06
364 642.1965 814.6002 4.355127e-07 7.351849e-07 1.307774e-06 1.6881 1.7788 1.916816e-06
365 605.0053 821.5409 5.373906e-07 1.306466e-06 1.898610e-05 2.4311 14.5324 2.782810e-05
366 634.1444 817.8047 2.161212e-06 3.749010e-06 6.284531e-06 1.7347 1.6763 9.211294e-06
367 899.6890 815.9786 5.397460e-07 9.251380e-07 1.584060e-06 1.7140 1.7122 2.321772e-06
368 37.0749 821.7655 9.897168e-07 2.073664e-06 1.430941e-05 2.0952 6.9005 2.097343e-05
369 689.0030 818.2120 6.175116e-07 1.096925e-06 2.047853e-06 1.7764 1.8669 3.001556e-06
370 834.3082 823.1664 1.152117e-05 1.959982e-05 3.337278e-05 1.7012 1.7027 4.891478e-05
371 937.2070 820.4062 5.035595e-07 8.239652e-07 1.411198e-06 1.6363 1.7127 2.068406e-06
372 1055.2133 822.5033 7.722252e-07 1.272527e-06 2.327537e-06 1.6479 1.8291 3.411492e-06
373 1008.6371 827.3294 1.792421e-06 2.897227e-06 4.821332e-06 1.6164 1.6641 7.066670e-06
374 814.8263 831.8591 7.885565e-07 1.359597e-06 2.033210e-06 1.7242 1.4955 2.980095e-06
375 912.8961 833.3518 7.820671e-07 1.461325e-06 4.053636e-06 1.8685 2.7739 5.941451e-06
376 119.5011 835.5761 1.611417e-05 2.576887e-05 4.584406e-05 1.5991 1.7790 6.719405e-05
377 314.8347 839.3656 2.122348e-06 4.268718e-06 1.919501e-05 2.0113 4.4967 2.813429e-05
378 328.6175 841.3676 4.740773e-07 1.008483e-06 6.924793e-06 2.1273 6.8665 1.014973e-05
379 973.1001 838.5615 2.772582e-05 4.662359e-05 8.178740e-05 1.6816 1.7542 1.198765e-04
380 103.7700 836.5163 8.544377e-07 1.429581e-06 2.713502e-06 1.6731 1.8981 3.977205e-06
381 514.9053 836.5019 5.402298e-07 8.780083e-07 1.479442e-06 1.6252 1.6850 2.168432e-06
382 572.3255 840.2776 5.172004e-06 9.166525e-06 2.194178e-05 1.7723 2.3937 3.216026e-05
383 784.1042 843.5332 2.437997e-06 4.583994e-06 1.442452e-05 1.8802 3.1467 2.114216e-05
384 35.4017 838.8183 4.792506e-07 8.142605e-07 1.687483e-06 1.6990 2.0724 2.473359e-06
385 476.9208 856.1710 4.639056e-07 1.061964e-06 8.852784e-06 2.2892 8.3362 1.297561e-05
386 726.8838 840.8330 6.038529e-07 1.045179e-06 1.709246e-06 1.7309 1.6354 2.505257e-06
387 674.2456 844.4265 4.014145e-07 8.304316e-07 2.917422e-06 2.0688 3.5131 4.276093e-06
388 57.4969 850.9455 6.131088e-07 1.016083e-06 1.648763e-06 1.6573 1.6227 2.416607e-06
389 426.9967 852.2585 7.310404e-07 1.274085e-06 2.093704e-06 1.7428 1.6433 3.068760e-06
390 1036.4667 852.4556 1.456672e-06 2.340168e-06 4.165432e-06 1.6065 1.7800 6.105312e-06
391 502.9933 853.5166 1.073861e-06 1.839156e-06 3.107750e-06 1.7127 1.6898 4.555057e-06
392 557.2435 855.7749 5.927025e-07 1.111612e-06 3.017065e-06 1.8755 2.7141 4.422140e-06
393 1068.0758 855.9477 3.403597e-06 6.042806e-06 9.850910e-06 1.7754 1.6302 1.443857e-05
394 803.1670 866.9105 1.676175e-05 3.060470e-05 5.968878e-05 1.8259 1.9503 8.748639e-05
395 19.7010 858.6696 1.193954e-06 1.910914e-06 3.047050e-06 1.6005 1.5946 4.466089e-06
396 645.5188 868.2437 8.129239e-06 1.354590e-05 2.432727e-05 1.6663 1.7959 3.565670e-05
397 551.2863 870.9563 6.030617e-06 1.048290e-05 1.766400e-05 1.7383 1.6850 2.589029e-05
398 873.5789 872.1196 2.097248e-06 4.256767e-06 1.505376e-05 2.0297 3.5364 2.206443e-05
399 934.7845 871.2277 5.672536e-07 9.890082e-07 1.916735e-06 1.7435 1.9380 2.809376e-06
400 927.2385 873.0171 7.284361e-07 1.279398e-06 2.218042e-06 1.7564 1.7337 3.251004e-06
401 8.3775 874.2093 5.869827e-07 9.731232e-07 1.525782e-06 1.6578 1.5679 2.236352e-06
402 983.2170 880.3219 3.097049e-05 5.212628e-05 8.887518e-05 1.6831 1.7050 1.302652e-04
403 555.6740 878.1331 1.167346e-06 1.985436e-06 3.331880e-06 1.7008 1.6782 4.883566e-06
404 198.7885 880.1008 1.596436e-06 2.792978e-06 4.677570e-06 1.7495 1.6748 6.855956e-06
405 231.5102 878.9338 5.421823e-07 9.121692e-07 1.636629e-06 1.6824 1.7942 2.398823e-06
406 442.7903 879.6602 7.886384e-07 1.344887e-06 2.328307e-06 1.7053 1.7312 3.412621e-06
407 609.7270 880.5490 9.800622e-07 1.630776e-06 2.836648e-06 1.6640 1.7394 4.157700e-06
408 1058.8588 880.8433 2.122083e-06 3.699884e-06 6.058381e-06 1.7435 1.6375 8.879824e-06
409 818.1656 885.1815 1.722130e-06 3.014521e-06 5.231841e-06 1.7505 1.7355 7.668357e-06
410 586.3735 887.3414 3.476229e-06 5.663833e-06 9.791618e-06 1.6293 1.7288 1.435166e-05
411 15.2928 888.7329 9.304744e-07 1.517664e-06 2.574471e-06 1.6311 1.6963 3.773425e-06
412 475.4565 888.5081 1.220540e-06 1.876280e-06 3.131324e-06 1.5373 1.6689 4.589610e-06
413 211.2257 889.5946 1.085012e-06 1.800677e-06 2.877429e-06 1.6596 1.5980 4.217474e-06
414 991.5765 889.5288 7.838598e-07 1.261114e-06 2.415582e-06 1.6089 1.9154 3.540541e-06
415 700.6193 890.1955 4.278793e-07 7.401028e-07 1.347584e-06 1.7297 1.8208 1.975166e-06
416 866.7334 890.2745 1.014289e-06 1.748384e-06 3.041933e-06 1.7238 1.7399 4.458588e-06
417 326.2630 891.9898 5.170460e-07 9.140624e-07 1.512351e-06 1.7679 1.6545 2.216667e-06
418 639.7463 892.4953 8.309711e-07 1.413635e-06 2.568952e-06 1.7012 1.8173 3.765336e-06
419 247.8175 894.3382 8.638212e-07 1.446178e-06 2.392862e-06 1.6742 1.6546 3.507240e-06
420 726.8187 899.2515 3.686773e-07 7.051173e-07 2.028070e-06 1.9126 2.8762 2.972560e-06
421 212.6894 900.8674 2.042348e-06 3.447532e-06 5.688880e-06 1.6880 1.6501 8.338243e-06
422 400.9882 901.5999 9.006136e-07 1.600988e-06 2.695976e-06 1.7777 1.6839 3.951516e-06
423 743.8734 901.6444 1.158133e-06 2.014533e-06 3.582593e-06 1.7395 1.7784 5.251039e-06
424 111.5223 907.6140 2.873560e-05 4.566846e-05 7.676948e-05 1.5893 1.6810 1.125217e-04
425 465.3404 904.0978 6.930973e-07 1.164367e-06 1.971266e-06 1.6799 1.6930 2.889303e-06
426 737.2095 904.6048 4.512770e-07 7.115976e-07 1.091255e-06 1.5769 1.5335 1.599462e-06
427 52.3421 945.4482 3.695153e-04 6.192620e-04 1.116533e-03 1.6759 1.8030 1.636513e-03
428 310.4989 906.0902 5.266928e-07 8.951624e-07 1.586735e-06 1.6996 1.7726 2.325692e-06
429 700.3974 914.2002 7.529512e-06 1.344140e-05 3.252449e-05 1.7852 2.4197 4.767144e-05
430 893.8455 908.4406 2.748729e-06 4.576639e-06 7.762323e-06 1.6650 1.6961 1.137731e-05
431 165.8913 908.1155 2.912030e-07 5.636252e-07 1.717101e-06 1.9355 3.0465 2.516771e-06
432 915.9648 908.0047 5.704119e-07 1.045260e-06 1.791184e-06 1.8325 1.7136 2.625354e-06
433 536.1649 916.9222 6.192227e-06 1.181372e-05 3.118897e-05 1.9078 2.6401 4.571395e-05
434 128.8569 911.1531 5.195524e-07 9.224949e-07 1.850293e-06 1.7756 2.0057 2.711991e-06
435 200.3591 912.2928 2.037148e-06 3.328458e-06 5.908498e-06 1.6339 1.7751 8.660139e-06
436 171.7506 914.5625 1.409521e-06 2.614568e-06 6.454302e-06 1.8549 2.4686 9.460129e-06
437 655.8809 916.9114 1.906191e-06 3.399932e-06 5.752536e-06 1.7836 1.6920 8.431545e-06
438 1028.3208 915.9928 5.694765e-07 9.848236e-07 1.596281e-06 1.7293 1.6209 2.339683e-06
439 783.0551 924.5346 6.444398e-05 1.071491e-04 1.780885e-04 1.6627 1.6621 2.610260e-04
440 915.7366 921.7161 7.494446e-07 1.451364e-06 4.945027e-06 1.9366 3.4072 7.247971e-06
441 1067.4962 921.6818 1.020614e-05 1.620127e-05 2.784069e-05 1.5874 1.7184 4.080635e-05
442 182.2336 921.0204 7.060765e-07 1.233738e-06 2.028745e-06 1.7473 1.6444 2.973549e-06
443 1046.1414 924.2854 1.773416e-06 3.357409e-06 1.061710e-05 1.8932 3.1623 1.556158e-05
444 577.2829 921.9662 5.496710e-07 9.558049e-07 1.663771e-06 1.7389 1.7407 2.438604e-06
445 351.5403 924.6899 2.528549e-06 4.001673e-06 6.849901e-06 1.5826 1.7118 1.003996e-05
446 333.1679 928.9096 8.109138e-06 1.621041e-05 5.205143e-05 1.9990 3.2110 7.629225e-05
447 336.7590 928.9984 5.574890e-06 1.203058e-05 4.994291e-05 2.1580 4.1513 7.320178e-05
448 88.7877 927.7961 1.142863e-06 2.000827e-06 3.437133e-06 1.7507 1.7179 5.037836e-06
449 762.0006 926.6843 4.502200e-07 7.836485e-07 1.799626e-06 1.7406 2.2965 2.637728e-06
450 836.3756 928.3569 1.010940e-06 1.661525e-06 2.752403e-06 1.6435 1.6566 4.034222e-06
451 947.7610 930.2069 3.560254e-06 6.039762e-06 1.011054e-05 1.6964 1.6740 1.481911e-05
452 434.1387 933.0196 6.825448e-07 1.220029e-06 2.089857e-06 1.7875 1.7130 3.063123e-06
453 389.5106 938.1269 1.328191e-05 2.224357e-05 3.927553e-05 1.6747 1.7657 5.756650e-05
454 898.4898 939.8696 1.311868e-06 2.536143e-06 8.746912e-06 1.9332 3.4489 1.282043e-05
455 162.8995 939.3296 7.219453e-07 1.235264e-06 1.909566e-06 1.7110 1.5459 2.798869e-06
456 198.9796 967.3872 1.755615e-04 3.026016e-04 5.133510e-04 1.7236 1.6965 7.524232e-04
457 456.0850 947.4199 7.188414e-06 1.286313e-05 3.006226e-05 1.7894 2.3371 4.406252e-05
458 1014.9454 949.0812 5.754247e-06 1.109311e-05 2.995995e-05 1.9278 2.7008 4.391256e-05
459 508.5997 944.3252 7.971539e-07 1.285176e-06 2.179506e-06 1.6122 1.6959 3.194521e-06
460 589.4173 947.6419 9.315377e-07 1.506487e-06 2.719627e-06 1.6172 1.8053 3.986183e-06
461 216.6979 948.9670 8.755594e-07 1.067500e-06 1.327628e-06 1.2192 1.2437 1.945916e-06
462 309.0425 948.6898 5.760537e-07 9.771173e-07 1.505988e-06 1.6962 1.5413 2.207340e-06
463 1076.9983 949.9660 5.570047e-07 1.057738e-06 1.764303e-06 1.8990 1.6680 2.585954e-06
464 995.8111 950.3855 3.957944e-07 7.140649e-07 1.873433e-06 1.8041 2.6236 2.745907e-06
465 739.9751 954.6864 4.981891e-07 8.571346e-07 1.528328e-06 1.7205 1.7831 2.240084e-06
466 940.9889 961.0775 5.831268e-06 1.111338e-05 2.928714e-05 1.9058 2.6353 4.292643e-05
467 151.3946 959.8231 4.623604e-07 7.868455e-07 1.506808e-06 1.7018 1.9150 2.208542e-06
468 984.0412 961.2289 2.047482e-06 3.585622e-06 5.877933e-06 1.7512 1.6393 8.615339e-06
469 603.2871 962.8854 1.203790e-06 2.080947e-06 3.603374e-06 1.7287 1.7316 5.281499e-06
470 581.4561 964.4143 3.512025e-06 5.735253e-06 1.032433e-05 1.6330 1.8002 1.513247e-05
471 731.5887 971.4962 5.776651e-05 9.329350e-05 1.652598e-04 1.6150 1.7714 2.422229e-04
472 897.1646 969.7556 1.181256e-05 2.048967e-05 3.532856e-05 1.7346 1.7242 5.178140e-05
473 565.9527 970.6798 6.252995e-06 1.098093e-05 1.930799e-05 1.7561 1.7583 2.829990e-05
474 950.9588 972.6056 4.504045e-06 7.689638e-06 1.292874e-05 1.7073 1.6813 1.894978e-05
475 32.9638 979.1013 1.213174e-05 2.240621e-05 4.063140e-05 1.8469 1.8134 5.955382e-05
476 612.0152 974.7769 3.948291e-06 6.951387e-06 1.155811e-05 1.7606 1.6627 1.694083e-05
477 110.6659 979.3061 1.141653e-06 1.944018e-06 3.775245e-06 1.7028 1.9420 5.533410e-06
478 455.2985 979.0205 5.665938e-07 9.781156e-07 1.695876e-06 1.7263 1.7338 2.485661e-06
479 215.3930 981.2196 4.474591e-07 7.377279e-07 1.200501e-06 1.6487 1.6273 1.759586e-06
480 270.0200 984.8647 9.456214e-07 1.677982e-06 2.758605e-06 1.7745 1.6440 4.043313e-06
481 367.9779 987.6919 1.463020e-05 2.647555e-05 5.106907e-05 1.8097 1.9289 7.485240e-05
482 883.4603 985.2597 1.007372e-06 1.670481e-06 2.975748e-06 1.6583 1.7814 4.361581e-06
483 764.2183 987.0148 7.850248e-07 1.372248e-06 2.270893e-06 1.7480 1.6549 3.328469e-06
484 586.0526 989.8825 4.344571e-06 7.747437e-06 1.308997e-05 1.7832 1.6896 1.918609e-05
485 414.1654 993.7991 5.632544e-06 1.008776e-05 1.889388e-05 1.7910 1.8730 2.769294e-05
486 355.5706 992.4865 7.734591e-07 1.184658e-06 1.843856e-06 1.5316 1.5564 2.702556e-06
487 410.7542 993.7047 6.596273e-07 1.754975e-06 1.351127e-05 2.6606 7.6988 1.980359e-05
488 781.0109 993.2117 7.752343e-07 1.367001e-06 2.282563e-06 1.7633 1.6698 3.345573e-06
489 840.4279 995.8189 1.861494e-06 3.092896e-06 5.311214e-06 1.6615 1.7172 7.784694e-06
490 908.8693 1000.4134 3.771586e-06 7.196517e-06 2.146095e-05 1.9081 2.9821 3.145551e-05
491 205.2162 996.0293 6.960873e-07 1.212683e-06 1.997917e-06 1.7421 1.6475 2.928365e-06
492 929.9429 1000.9618 1.435287e-05 2.584837e-05 4.271775e-05 1.8009 1.6526 6.261180e-05
493 249.9113 1000.2462 2.855711e-06 4.961035e-06 8.437201e-06 1.7372 1.7007 1.236648e-05
494 640.1867 1000.1228 1.900564e-06 3.319574e-06 5.419288e-06 1.7466 1.6325 7.943099e-06
495 954.1602 999.2903 7.214734e-07 1.267576e-06 2.416878e-06 1.7569 1.9067 3.542439e-06
496 703.7982 1000.1128 7.230954e-07 1.253927e-06 2.044614e-06 1.7341 1.6306 2.996809e-06
497 846.2088 1000.9912 1.010588e-06 1.855729e-06 4.457627e-06 1.8363 2.4021 6.533584e-06
498 182.6888 1003.9241 1.352891e-06 2.339752e-06 3.986155e-06 1.7294 1.7037 5.842544e-06
499 440.6684 1007.4550 1.597343e-06 2.545577e-06 4.269737e-06 1.5936 1.6773 6.258193e-06
500 881.5696 1009.1740 1.211276e-06 2.042211e-06 3.668421e-06 1.6860 1.7963 5.376838e-06
501 1051.8356 1008.9868 1.023162e-06 1.810500e-06 3.056906e-06 1.7695 1.6884 4.480534e-06
502 346.9093 1011.7872 9.414932e-07 1.686780e-06 3.673665e-06 1.7916 2.1779 5.384523e-06
503 526.6779 1019.0098 2.124902e-06 5.698691e-06 4.362933e-05 2.6819 7.6560 6.394791e-05
504 814.9454 1015.6189 3.186792e-06 5.391658e-06 8.810880e-06 1.6919 1.6342 1.291419e-05
505 908.8238 1015.3137 1.750771e-06 2.965883e-06 4.909031e-06 1.6940 1.6552 7.195211e-06
506 1011.2848 1013.9636 6.711303e-07 1.185325e-06 2.083099e-06 1.7662 1.7574 3.053216e-06
507 1056.9500 1013.6628 7.553522e-07 1.286885e-06 2.059605e-06 1.7037 1.6005 3.018782e-06
508 193.0059 1014.5015 5.623408e-07 9.329197e-07 1.439448e-06 1.6590 1.5429 2.109812e-06
509 767.3652 1017.7014 9.278471e-07 1.534196e-06 2.758521e-06 1.6535 1.7980 4.043189e-06
510 271.6898 1019.9216 1.013795e-06 1.893355e-06 3.926307e-06 1.8676 2.0737 5.754823e-06
511 274.1229 1019.7013 6.521412e-07 1.317986e-06 3.711646e-06 2.0210 2.8161 5.440193e-06
512 460.0126 1020.0061 6.010300e-07 1.082847e-06 1.685791e-06 1.8017 1.5568 2.470879e-06
513 961.7659 1022.4705 2.879682e-06 4.673847e-06 8.317627e-06 1.6230 1.7796 1.219122e-05
514 669.1416 1025.7544 1.429434e-06 2.470042e-06 4.123287e-06 1.7280 1.6693 6.043539e-06
515 1054.0284 1026.5408 1.164638e-06 1.966852e-06 3.606151e-06 1.6888 1.8335 5.285568e-06
516 620.6807 1033.4681 1.154019e-06 1.832989e-06 3.128879e-06 1.5884 1.7070 4.586027e-06
517 968.0755 1034.0308 1.658563e-06 2.974871e-06 4.923586e-06 1.7936 1.6551 7.216545e-06
518 43.4232 1035.9420 4.177297e-06 6.924428e-06 1.153090e-05 1.6576 1.6652 1.690094e-05
519 102.0767 1039.4224 5.988355e-07 1.159382e-06 4.503002e-06 1.9361 3.8840 6.600091e-06
520 1093.4741 1036.7710 2.767512e-06 4.699100e-06 9.498658e-06 1.6980 2.0214 1.392227e-05
521 750.8447 1041.5407 9.904881e-07 1.745466e-06 3.607763e-06 1.7622 2.0669 5.287931e-06
522 90.2495 1050.7724 2.377030e-06 4.551121e-06 1.649277e-05 1.9146 3.6239 2.417360e-05
523 118.6437 1048.4043 8.001214e-06 1.312433e-05 2.325940e-05 1.6403 1.7722 3.409151e-05
524 653.4948 1047.5336 1.543189e-06 2.402360e-06 4.089755e-06 1.5568 1.7024 5.994391e-06
525 741.4370 1048.6707 9.052982e-07 1.414950e-06 2.297207e-06 1.5630 1.6235 3.367037e-06
526 711.3667 1048.8138 6.428281e-07 1.040668e-06 1.439348e-06 1.6189 1.3831 2.109665e-06
527 577.4951 1055.6646 1.281794e-06 2.012386e-06 3.466503e-06 1.5700 1.7226 5.080886e-06
528 475.8092 1057.4355 1.016676e-06 1.697731e-06 2.748401e-06 1.6699 1.6189 4.028356e-06
529 211.4026 1059.6783 8.699198e-07 1.368054e-06 2.352902e-06 1.5726 1.7199 3.448669e-06
530 536.0841 1063.6678 6.563323e-07 1.102419e-06 1.854478e-06 1.6797 1.6822 2.718126e-06
531 897.0848 1067.2369 1.325255e-06 2.321712e-06 4.069860e-06 1.7519 1.7530 5.965231e-06
532 187.5432 1069.9281 1.249278e-06 2.068249e-06 3.236515e-06 1.6556 1.5649 4.743790e-06
533 117.9857 1071.4990 6.981214e-07 1.166447e-06 2.013416e-06 1.6708 1.7261 2.951083e-06
534 165.7578 1075.2986 4.092896e-06 5.620909e-06 6.832923e-06 1.3733 1.2156 1.001508e-05
535 1048.7960 1076.1930 1.775963e-06 3.086790e-06 5.264174e-06 1.7381 1.7054 7.715748e-06
536 910.3810 1079.1907 5.648435e-07 9.507342e-07 1.565018e-06 1.6832 1.6461 2.293861e-06
537 741.5101 1082.5653 9.995696e-07 1.529396e-06 2.582870e-06 1.5301 1.6888 3.785736e-06
538 825.1912 1082.4978 7.929246e-07 1.349128e-06 2.427429e-06 1.7015 1.7993 3.557904e-06
539 465.3234 1084.7546 1.127718e-06 1.923507e-06 3.347709e-06 1.7057 1.7404 4.906767e-06
540 299.2902 1088.6813 6.811472e-07 1.160353e-06 2.082164e-06 1.7035 1.7944 3.051846e-06
541 663.7870 1093.7790 9.714844e-06 1.686679e-05 2.913776e-05 1.7362 1.7275 4.270747e-05
542 808.8954 1091.9632 1.744697e-06 3.119549e-06 5.387424e-06 1.7880 1.7270 7.896396e-06
543 1026.4818 1092.9856 6.996053e-07 1.147942e-06 1.848148e-06 1.6408 1.6100 2.708847e-06
544 85.7622 1097.5921 2.319918e-06 4.311439e-06 1.526138e-05 1.8584 3.5397 2.236874e-05
545 868.9856 1098.5037 6.819374e-07 1.155705e-06 1.952126e-06 1.6947 1.6891 2.861249e-06
546 599.1360 1107.5280 3.359815e-06 6.269159e-06 1.814578e-05 1.8659 2.8945 2.659644e-05
547 239.2049 1113.7769 4.927022e-07 1.160105e-06 3.570361e-06 2.3546 3.0776 5.233111e-06
548 196.3846 1131.8585 1.232883e-04 2.110607e-04 3.704426e-04 1.7119 1.7551 5.429611e-04
549 555.4418 1118.6254 2.572951e-05 4.024404e-05 6.674408e-05 1.5641 1.6585 9.782741e-05
550 565.8406 1116.8247 6.396911e-07 1.103010e-06 2.381482e-06 1.7243 2.1591 3.490560e-06
551 860.4428 1119.4480 1.466336e-06 2.323669e-06 3.785350e-06 1.5847 1.6290 5.548222e-06
552 525.7819 1125.0486 1.635791e-05 2.849975e-05 4.638642e-05 1.7423 1.6276 6.798900e-05
553 335.6891 1121.9868 5.469816e-07 9.380383e-07 1.611396e-06 1.7149 1.7178 2.361838e-06
554 180.0461 1124.6956 5.430106e-07 9.606192e-07 1.807559e-06 1.7691 1.8817 2.649356e-06
555 706.5357 1126.5106 3.623087e-06 5.626359e-06 9.588508e-06 1.5529 1.7042 1.405396e-05
556 536.7119 1132.1518 4.365481e-06 7.737227e-06 1.635747e-05 1.7724 2.1141 2.397529e-05
557 1018.4637 1134.2395 1.730255e-06 3.135821e-06 9.497136e-06 1.8123 3.0286 1.392004e-05
558 107.3056 1132.3819 3.162777e-06 5.052228e-06 8.578284e-06 1.5974 1.6979 1.257327e-05
559 944.7953 1132.8304 7.829516e-07 1.418243e-06 2.702728e-06 1.8114 1.9057 3.961414e-06
560 123.4200 1134.8339 1.814998e-06 2.993491e-06 5.171195e-06 1.6493 1.7275 7.579467e-06
561 165.4200 1136.3943 1.998759e-06 3.136144e-06 5.242434e-06 1.5690 1.6716 7.683884e-06
562 277.7560 1139.9012 8.613930e-07 1.812849e-06 4.179663e-06 2.1046 2.3056 6.126170e-06
# Look at catalog table that shows all columns, but subset of rows
# Pay attention to rows with a large number of nans, as this may indicate a spurious source
catalog = Table.read("starfield_combined_cat.ecsv")
catalog
2021-10-05 16:05:15,391 - stpipe - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/astropy/io/ascii/connect.py:18: ResourceWarning: unclosed file <_io.TextIOWrapper name='starfield_combined_cat.ecsv' encoding='UTF-8'> return read(filename, **kwargs)
| label | xcentroid | ycentroid | sky_centroid | aper_bkg_flux | aper_bkg_flux_err | aper30_flux | aper30_flux_err | aper50_flux | aper50_flux_err | aper70_flux | aper70_flux_err | aper_total_flux | aper_total_flux_err | aper30_abmag | aper30_abmag_err | aper50_abmag | aper50_abmag_err | aper70_abmag | aper70_abmag_err | aper_total_abmag | aper_total_abmag_err | aper30_vegamag | aper30_vegamag_err | aper50_vegamag | aper50_vegamag_err | aper70_vegamag | aper70_vegamag_err | aper_total_vegamag | aper_total_vegamag_err | CI_50_30 | CI_70_50 | CI_70_30 | is_extended | sharpness | roundness | nn_label | nn_dist | isophotal_flux | isophotal_flux_err | isophotal_abmag | isophotal_abmag_err | isophotal_vegamag | isophotal_vegamag_err | isophotal_area | semimajor_sigma | semiminor_sigma | ellipticity | orientation | sky_orientation | sky_bbox_ll | sky_bbox_ul | sky_bbox_lr | sky_bbox_ur |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| deg,deg | Jy | Jy | Jy | Jy | Jy | Jy | Jy | Jy | Jy | Jy | pix | Jy | Jy | pix2 | pix | pix | deg | deg | deg,deg | deg,deg | deg,deg | deg,deg | |||||||||||||||||||||||||||||||
| int64 | float64 | float64 | object | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | bool | float64 | float32 | int64 | float64 | float32 | float32 | float32 | float32 | float32 | float32 | float64 | float64 | float64 | float64 | float64 | float64 | object | object | object | object |
| 1 | 762.5591 | 10.1400 | 359.9981573199496,-0.01801620107835838 | 4.312317e-08 | 4.101550e-09 | 1.472476e-07 | 1.275167e-01 | 3.022857e-07 | 1.823526e-01 | 1.361551e-06 | nan | 1.995638e-06 | nan | 25.979879 | 14.843799 | 25.198956 | 14.451238 | 23.564915 | nan | 23.149796 | nan | 21.595900 | 14.843799 | 20.814976 | 14.451238 | 19.180935 | nan | 18.765816 | nan | 2.0529 | 4.5042 | 9.2467 | True | 0.799395 | -0.241319 | 4 | 7.178444 | 3.163444e-06 | 3.891170e-01 | 22.649599 | 12.724810 | 18.265619 | 12.724810 | 32.0 | 2.777344 | 1.086211 | 0.608903 | 3.550519 | 98.565719 | 359.99830535243075,-0.01811076892774288 | 359.9983214985069,-0.017926780642625113 | 359.99796804054597,-0.018081167777008036 | 359.99798418662215,-0.017897179492014796 |
| 2 | 664.1054 | 9.6365 | 0.0011750203856884,-0.01829657962411957 | 0.000000e+00 | 1.531429e-09 | 8.825641e-07 | 1.337009e-01 | 1.450177e-06 | nan | 1.394186e-06 | nan | 2.043472e-06 | nan | 24.035634 | 12.950978 | 23.496447 | nan | 23.539198 | nan | 23.124078 | nan | 19.651655 | 12.950978 | 19.112468 | nan | 19.155218 | nan | 18.740099 | nan | 1.6431 | 0.9614 | 1.5797 | False | 0.596048 | 0.581146 | 5 | 21.623908 | 1.498448e-06 | 1.880104e-01 | 23.460896 | 12.746359 | 19.076916 | 12.746359 | 7.0 | 0.727228 | 0.644319 | 0.114006 | -4.979065 | 90.036135 | 0.001221191559519204,-0.018335750490372796 | 0.0012319556102703352,-0.018213091633091347 | 0.0010985326908587367,-0.018324986437515855 | 0.0011092967416097114,-0.018202327580259046 |
| 3 | 789.2974 | 21.2154 | 359.997367202324,-0.017604622488484413 | 8.843204e-08 | 7.497592e-09 | 2.410486e-06 | 1.544573e-01 | 4.633608e-06 | 2.194798e-01 | 1.490815e-05 | 4.844087e-01 | 2.185101e-05 | 7.100022e-01 | 22.944738 | 12.016777 | 22.235202 | 11.688711 | 20.966441 | 11.279504 | 20.551321 | 11.279504 | 18.560758 | 12.016777 | 17.851222 | 11.688711 | 16.582461 | 11.279504 | 16.167341 | 11.279504 | 1.9223 | 3.2174 | 6.1847 | False | 0.531177 | -0.013396 | 13 | 16.919064 | 3.730086e-05 | 8.771603e-01 | 19.970703 | 10.928446 | 15.586723 | 10.928446 | 161.0 | 3.934396 | 2.128759 | 0.458936 | -83.276902 | 11.738298 | 359.997516142833,-0.01794880842815496 | 359.99757265409954,-0.01730484942913168 | 359.99714816623293,-0.0179165162622523 | 359.9972046774995,-0.017272557263756486 |
| 4 | 761.5630 | 17.2489 | 359.9982069976053,-0.017800886728982245 | 3.690874e-08 | 3.247697e-09 | 4.784624e-07 | 1.318881e-01 | 8.159716e-07 | 1.891252e-01 | 1.572082e-06 | 4.326425e-01 | 2.304215e-06 | 6.341281e-01 | 24.700381 | 13.600898 | 24.120812 | 13.412691 | 23.408812 | 13.599139 | 22.993692 | 13.599139 | 20.316401 | 13.600898 | 19.736833 | 13.412691 | 19.024832 | 13.599139 | 18.609713 | 13.599139 | 1.7054 | 1.9266 | 3.2857 | False | 0.587114 | 0.168807 | 1 | 7.178444 | 1.767128e-06 | 2.622942e-01 | 23.281830 | 12.928809 | 18.897850 | 12.928809 | 14.0 | 1.001693 | 0.982022 | 0.019638 | -15.483588 | 79.531612 | 359.99826555109865,-0.01786006918684971 | 359.99827900616214,-0.01770674561555038 | 359.9981122275147,-0.01784661411841635 | 359.9981256825781,-0.01769329054718747 |
| 5 | 683.5598 | 19.0768 | 0.0006038605259105159,-0.017954743074960065 | -2.654039e-09 | 1.904604e-09 | 3.490617e-06 | 1.604577e-01 | 5.739560e-06 | 2.248528e-01 | 9.361497e-06 | 4.577818e-01 | 1.372123e-05 | 6.709750e-01 | 22.542744 | 11.656170 | 22.002804 | 11.482577 | 21.471637 | 11.723305 | 21.056517 | 11.723305 | 18.158765 | 11.656170 | 17.618824 | 11.482577 | 17.087657 | 11.723305 | 16.672537 | 11.723305 | 1.6443 | 1.6310 | 2.6819 | False | 0.637434 | -0.143922 | 2 | 21.623908 | 8.969702e-06 | 3.914912e-01 | 21.518055 | 11.599885 | 17.134075 | 11.599885 | 28.0 | 1.269968 | 1.157576 | 0.088501 | 13.278806 | 108.294006 | 0.0006907547524230875,-0.018041994537365016 | 0.0007095918412466997,-0.017827341536615117 | 0.00047610173268776136,-0.018023157444239834 | 0.0004949388215110312,-0.01780850444356504 |
| 6 | 550.7261 | 23.1842 | 0.004688223385059455,-0.01818624775811432 | 6.384504e-08 | 2.942579e-09 | 1.068359e-06 | 1.408993e-01 | 2.086601e-06 | 2.010133e-01 | 6.515162e-06 | 4.574869e-01 | 9.549332e-06 | 6.705427e-01 | 23.828207 | 12.800487 | 23.101402 | 12.459475 | 21.865187 | 12.116149 | 21.450067 | 12.116149 | 19.444228 | 12.800487 | 18.717422 | 12.459475 | 17.481207 | 12.116149 | 17.066088 | 12.116149 | 1.9531 | 3.1224 | 6.0983 | False | 0.492139 | 0.301218 | 7 | 13.763307 | 1.601781e-05 | 7.038065e-01 | 20.888493 | 11.607150 | 16.504513 | 11.607150 | 104.0 | 2.996963 | 2.400831 | 0.198912 | -24.381910 | 70.633290 | 0.004925176749260481,-0.018382689607723275 | 0.004960159913805262,-0.017984048319169502 | 0.004434541271276002,-0.01833963340584742 | 0.004469524435888218,-0.017940992117288532 |
| 7 | 564.1992 | 20.3731 | 0.004267507840482058,-0.018236194102641486 | 1.894127e-08 | 2.918243e-09 | 3.855958e-07 | 1.285942e-01 | 7.306628e-07 | 1.859169e-01 | 2.073629e-06 | 4.322807e-01 | 3.039337e-06 | 6.335977e-01 | 24.934669 | 13.807726 | 24.240707 | 13.514009 | 23.108172 | 13.297592 | 22.693053 | 13.297592 | 20.550689 | 13.807726 | 19.856728 | 13.514009 | 18.724193 | 13.297592 | 18.309073 | 13.297592 | 1.8949 | 2.8380 | 5.3777 | False | 0.592777 | 0.086830 | 6 | 13.763307 | 1.531708e-06 | 2.594779e-01 | 23.437059 | 13.072317 | 19.053080 | 13.072317 | 14.0 | 1.141866 | 0.893450 | 0.217553 | 23.815207 | 118.830407 | 0.004345238131844035,-0.018300895653393306 | 0.004358693195162484,-0.018147572081012423 | 0.004161249827683303,-0.018284749577231835 | 0.004174704891008232,-0.018131426004878062 |
| 8 | 752.7783 | 25.2594 | 359.99849793398516,-0.01757888709056071 | 1.639143e-08 | 1.726429e-09 | 6.398899e-07 | 1.319267e-01 | 1.135557e-06 | 1.870744e-01 | 2.162081e-06 | 3.981345e-01 | 3.168982e-06 | 5.835493e-01 | 24.384737 | 13.285574 | 23.761978 | 13.042020 | 23.062820 | 13.162900 | 22.647701 | 13.162900 | 20.000757 | 13.285574 | 19.377998 | 13.042020 | 18.678840 | 13.162900 | 18.263721 | 13.162900 | 1.7746 | 1.9040 | 3.3788 | False | 0.637424 | 0.087205 | 4 | 11.888596 | 1.843076e-06 | 2.344998e-01 | 23.236141 | 12.761507 | 18.852161 | 12.761507 | 12.0 | 0.977991 | 0.858508 | 0.122172 | -73.078306 | 21.936894 | 359.99856306165174,-0.01763897059538726 | 359.9985765167152,-0.017485647023626382 | 359.99840973806755,-0.017625515527277806 | 359.99842319313103,-0.017472191955552226 |
| 9 | 535.8723 | 28.3799 | 0.005157692225827693,-0.01806689626634795 | 1.368028e-08 | 3.754178e-09 | 3.955423e-07 | 8.959348e-02 | 6.976143e-07 | 1.395520e-01 | 1.979629e-06 | 3.571087e-01 | 2.901561e-06 | 5.234175e-01 | 24.907018 | 13.387714 | 24.290962 | 13.252807 | 23.158540 | 13.140547 | 22.743421 | 13.140547 | 20.523038 | 13.387714 | 19.906982 | 13.252807 | 18.774560 | 13.140547 | 18.359441 | 13.140547 | 1.7637 | 2.8377 | 5.0048 | False | 0.811596 | 0.055584 | 11 | 10.044663 | 2.594541e-06 | 2.294382e-01 | 22.864849 | 12.366525 | 18.480869 | 12.366525 | 21.0 | 3.092449 | 0.535153 | 0.826948 | 3.332676 | 98.347876 | 0.005348037189133449,-0.01814169034041396 | 0.00535880123974368,-0.018019031482224585 | 0.004949395863177019,-0.018106707177364505 | 0.004960159913805262,-0.017984048319169502 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 553 | 335.6891 | 1121.9868 | 0.014239163601151315,0.0149295537697527 | 1.048213e-08 | 1.647462e-09 | 5.469816e-07 | 1.341436e-01 | 9.380383e-07 | 1.900534e-01 | 1.611396e-06 | 4.345988e-01 | 2.361838e-06 | 6.369954e-01 | 24.555068 | 13.473998 | 23.969449 | 13.266643 | 23.381994 | 13.577220 | 22.966875 | 13.577220 | 20.171088 | 13.473998 | 19.585469 | 13.266643 | 18.998014 | 13.577220 | 18.582895 | 13.577220 | 1.7149 | 1.7178 | 2.9460 | False | 0.584639 | 0.337600 | 540 | 49.336952 | 1.042878e-06 | 1.883984e-01 | 23.854416 | 13.142115 | 19.470436 | 13.142115 | 7.0 | 0.740429 | 0.667408 | 0.098620 | 86.826808 | 181.842008 | 0.014271624742276265,0.014880761707256107 | 0.014282388792052214,0.015003420564287067 | 0.014148965876872564,0.014891525761322862 | 0.014159729926665582,0.015014184618392271 |
| 554 | 180.0461 | 1124.6956 | 0.019019200734444974,0.01459378060359947 | 4.898826e-09 | 1.804664e-09 | 5.430106e-07 | 1.331598e-01 | 9.606192e-07 | 1.931751e-01 | 1.807559e-06 | 4.433636e-01 | 2.649356e-06 | 6.498421e-01 | 24.562979 | 13.473917 | 23.943622 | 13.258505 | 23.257269 | 13.474173 | 22.842149 | 13.474173 | 20.178999 | 13.473917 | 19.559642 | 13.258505 | 18.873289 | 13.474173 | 18.458169 | 13.474173 | 1.7691 | 1.8817 | 3.3288 | False | 0.564979 | -0.093740 | 548 | 17.839679 | 1.024119e-06 | 1.922411e-01 | 23.874123 | 13.183745 | 19.490143 | 13.183745 | 7.0 | 0.735971 | 0.673486 | 0.084903 | -2.625814 | 92.389386 | 0.019063393460502846,0.014552957692404679 | 0.019074157509706077,0.014675616547715853 | 0.018940734598859046,0.014563721748860104 | 0.018951498648076572,0.014686380604220417 |
| 555 | 706.5357 | 1126.5106 | 0.002879428706929021,0.0160662278279653 | -3.409270e-09 | 2.209696e-09 | 3.623087e-06 | 1.634526e-01 | 5.626359e-06 | 2.230171e-01 | 9.588508e-06 | 4.552286e-01 | 1.405396e-05 | 6.672327e-01 | 22.502303 | 11.635807 | 22.024431 | 11.495304 | 21.445622 | 11.691219 | 21.030503 | 11.691219 | 18.118323 | 11.635807 | 17.640452 | 11.495304 | 17.061643 | 11.691219 | 16.646523 | 11.691219 | 1.5529 | 1.7042 | 2.6465 | False | 0.616038 | -0.561910 | 541 | 53.840645 | 9.155088e-06 | 4.153907e-01 | 21.495844 | 11.642009 | 17.111864 | 11.642009 | 32.0 | 1.286868 | 1.249962 | 0.028679 | 6.543008 | 101.558208 | 0.002964417280641886,0.0159657395555046 | 0.00298325436910484,0.016180392555738353 | 0.0027497642626530777,0.015984576638815834 | 0.0027686013511275076,0.016199229638982203 |
| 556 | 536.7119 | 1132.1518 | 0.008102208043853053,0.01578221480569448 | 7.315693e-08 | 3.593362e-09 | 4.365481e-06 | 1.742227e-01 | 7.737227e-06 | 2.408297e-01 | 1.635747e-05 | 4.887516e-01 | 2.397529e-05 | 7.163677e-01 | 22.299920 | 11.502709 | 21.678537 | 11.232847 | 20.865710 | 11.188467 | 20.450590 | 11.188467 | 17.915940 | 11.502709 | 17.294557 | 11.232847 | 16.481730 | 11.188467 | 16.066611 | 11.188467 | 1.7724 | 2.1141 | 3.7470 | False | 0.583587 | -0.455243 | 552 | 13.035379 | 2.853489e-05 | 7.887377e-01 | 20.261559 | 11.103930 | 15.877579 | 11.103930 | 117.0 | 2.761459 | 1.952409 | 0.292979 | -22.050807 | 72.964393 | 0.008308151064500805,0.015589497554340519 | 0.008340443215372306,0.015957474126748056 | 0.007848180310699622,0.015629862744638734 | 0.007880472461657035,0.01599783931704482 |
| 557 | 1018.4637 | 1134.2395 | 359.99333504377324,0.01714263361294397 | 3.881367e-08 | 5.939288e-09 | 1.730255e-06 | 1.462713e-01 | 3.135821e-06 | 2.066353e-01 | 9.497136e-06 | 4.617085e-01 | 1.392004e-05 | 6.767303e-01 | 23.304725 | 12.317635 | 22.659122 | 12.047149 | 21.456018 | 11.716960 | 21.040899 | 11.716960 | 18.920745 | 12.317635 | 18.275142 | 12.047149 | 17.072039 | 11.716960 | 16.656919 | 11.716960 | 1.8123 | 3.0286 | 5.4889 | False | 0.589986 | -1.209986 | 543 | 42.025889 | 1.677051e-05 | 6.360297e-01 | 20.838634 | 11.447355 | 16.454655 | 11.447355 | 78.0 | 3.016509 | 1.535801 | 0.490868 | -48.673306 | 46.341894 | 359.9935024750068,0.016950585565029357 | 359.9935347671584,0.01731856212598285 | 359.99313449842174,0.016982877688253472 | 359.99316679057335,0.017350854248636853 |
| 558 | 107.3056 | 1132.3819 | 0.021270449986332363,0.014633733227163432 | -9.834213e-09 | 1.636357e-09 | 3.162777e-06 | 1.623001e-01 | 5.052228e-06 | 2.246035e-01 | 8.578284e-06 | 4.719450e-01 | 1.257327e-05 | 6.917341e-01 | 22.649829 | 11.775647 | 22.141293 | 11.619858 | 21.566499 | 11.851247 | 21.151380 | 11.851247 | 18.265849 | 11.775647 | 17.757313 | 11.619858 | 17.182519 | 11.851247 | 16.767400 | 11.851247 | 1.5974 | 1.6979 | 2.7123 | False | 0.597249 | 0.291547 | 560 | 16.299837 | 7.908257e-06 | 3.992480e-01 | 21.654797 | 11.757927 | 17.270817 | 11.757927 | 27.0 | 1.230942 | 1.167340 | 0.051669 | 19.599874 | 114.615074 | 0.021348728451751713,0.014537810919189612 | 0.02136756553727624,0.014752463913597719 | 0.021134075447988985,0.014556648019930674 | 0.021152912533560064,0.014771301014518793 |
| 559 | 944.7953 | 1132.8304 | 359.99559027271744,0.016901180900424376 | -2.324965e-09 | 1.290461e-09 | 7.829516e-07 | 1.355357e-01 | 1.418243e-06 | 1.921206e-01 | 2.702728e-06 | 4.319325e-01 | 3.961414e-06 | 6.330874e-01 | 24.165663 | 13.095804 | 23.520623 | 12.829566 | 22.820494 | 13.009041 | 22.405375 | 13.009041 | 19.781683 | 13.095804 | 19.136643 | 12.829566 | 18.436514 | 13.009041 | 18.021395 | 13.009041 | 1.8114 | 1.9057 | 3.4520 | False | 0.543800 | 0.061235 | 536 | 63.730377 | 1.899255e-06 | 2.362207e-01 | 23.203541 | 12.736846 | 18.819561 | 12.736846 | 11.0 | 0.896727 | 0.855811 | 0.045627 | -51.903707 | 43.111493 | 359.99565438713114,0.01682354425777162 | 359.9956678421944,0.01697686782622462 | 359.99550106355156,0.01683699931110447 | 359.9955145186148,0.01699032287946309 |
| 560 | 123.4200 | 1134.8339 | 0.020782906393613423,0.014752287436546288 | -5.717470e-09 | 2.587961e-09 | 1.814998e-06 | 1.482807e-01 | 2.993491e-06 | 2.104042e-01 | 5.171195e-06 | 4.570427e-01 | 7.579467e-06 | 6.698916e-01 | 23.252810 | 12.280535 | 22.709555 | 12.117206 | 22.116023 | 12.365927 | 21.700903 | 12.365927 | 18.868830 | 12.280535 | 18.325575 | 12.117206 | 17.732043 | 12.365927 | 17.316923 | 12.365927 | 1.6493 | 1.7275 | 2.8491 | False | 0.598658 | -0.239897 | 558 | 16.299837 | 4.438235e-06 | 3.235317e-01 | 22.281975 | 12.156781 | 17.897995 | 12.156781 | 19.0 | 1.099934 | 1.039593 | 0.054859 | -89.564290 | 5.450910 | 0.020866166050648095,0.014672861289884771 | 0.020882312124071132,0.014856849571034444 | 0.020682177760924427,0.014689007375963615 | 0.020698323834387133,0.014872995657247316 |
| 561 | 165.4200 | 1136.3943 | 0.019499186012056437,0.014913159909116553 | 5.218276e-09 | 2.965200e-09 | 1.998759e-06 | 1.498578e-01 | 3.136144e-06 | 2.090278e-01 | 5.242434e-06 | 4.590915e-01 | 7.683884e-06 | 6.728946e-01 | 23.148099 | 12.187312 | 22.659010 | 12.059536 | 22.101168 | 12.355928 | 21.686048 | 12.355928 | 18.764119 | 12.187312 | 18.275030 | 12.059536 | 17.717188 | 12.355928 | 17.302068 | 12.355928 | 1.5690 | 1.6716 | 2.6228 | False | 0.611013 | -0.485318 | 554 | 18.729170 | 4.869104e-06 | 3.439525e-01 | 22.181377 | 12.122640 | 17.797398 | 12.122640 | 21.0 | 1.144376 | 1.079580 | 0.056621 | -17.500209 | 77.514991 | 0.019580939028735422,0.014816548603479628 | 0.019597085102435324,0.015000536885475422 | 0.019366286021680144,0.014835385702858674 | 0.019382432095426907,0.015019373984999043 |
| 562 | 277.7560 | 1139.9012 | 0.016063873042447094,0.015322995177704192 | 1.363640e-08 | 2.121119e-09 | 8.613930e-07 | 1.653055e-01 | 1.812849e-06 | 2.403646e-01 | 4.179663e-06 | 4.636515e-01 | 6.126170e-06 | 6.795782e-01 | 24.061997 | 13.207721 | 23.254096 | 12.806280 | 22.347147 | 12.612636 | 21.932027 | 12.612636 | 19.678017 | 13.207721 | 18.870116 | 12.806280 | 17.963167 | 12.612636 | 17.548048 | 12.612636 | 2.1046 | 2.3056 | 4.8522 | True | 0.950967 | -0.696295 | 547 | 46.568891 | 4.259525e-06 | 4.239687e-01 | 22.326597 | 12.494942 | 17.942617 | 12.494942 | 23.0 | 1.565093 | 0.996550 | 0.363265 | 1.715226 | 96.730426 | 0.01615725492436816,0.015240601027777951 | nan,nan | 0.015911937196071764,0.01526212913804344 | nan,nan |
# Read in i2d combined Image
im_i2d = ImageModel(input_file)
# read in ecsv photom file
from astropy.visualization import LogStretch, PercentileInterval, ManualInterval
from astropy import table
viz2 = LogStretch() + ManualInterval(0,10)
plt.figure(figsize=(20,20))
plt.imshow(viz2(im_i2d.data), origin='lower')
#plt.imshow(im_i2d.data, origin='lower', cmap='rainbow', vmin=0, vmax=0.3)
plt.colorbar()
plt.scatter(data['xcentroid'], data['ycentroid'],lw=1, s=10,color='red')
<matplotlib.collections.PathCollection at 0x7f8e53faedc0>
#create_scatterplot(catalog['label'], catalog['aper_total_flux'],title='Total Flux in '+str(catalog['aper_total_flux'].unit))
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.scatter(catalog['label'], catalog['aper_total_flux'])
plt.yscale('log')
plt.title('Total Flux in '+ str(catalog['aper_total_flux'].unit))
plt.xlabel('label')
plt.ylabel('aper_total_flux')
Text(0, 0.5, 'aper_total_flux')
create_scatterplot(catalog['label'], catalog['aper_total_abmag'],title='Total AB mag')
create_scatterplot(catalog['aper_total_abmag'], catalog['aper_total_abmag_err'],title='Total AB mag vs error')
Since this is a simulated data set, we can compare the output catalog information from the pipeline with the input catalog information used to create the simulation. Grab the input catalog x,y values and the output catalog x and y values.
# Read in catalogs used for simulated data
sim_star_cat = Table.read('input_sim_stars.cat', format='ascii')
sim_gal_cat = Table.read('input_sim_galaxies.cat', format='ascii')
sim_star_cat
| x | y | Teff | Ks | J |
|---|---|---|---|---|
| float64 | float64 | float64 | float64 | float64 |
| 80.2510308154624 | 23.997467884837725 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| -47.261524228197935 | 10.919745186379808 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 0.30699104430734203 | -58.51295402429979 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 93.61585359712294 | 10.466443553979882 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 70.96910779066107 | 63.07387861912006 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 92.9069476014962 | 64.30856174275276 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| -15.68679078862531 | 31.013432097907607 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 46.755851500202645 | -48.43985094005038 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 89.7351811921786 | 53.11182881807044 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| 36.8486881036986 | 55.211246043351814 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 |
| ... | ... | ... | ... | ... |
| -53.75703837846754 | -15.056996445192539 | 5129.638599639223 | 13.89851702505835 | 14.41384375773162 |
| -0.03077487414979152 | 36.278182742815886 | 5115.269231711902 | 13.881869560311879 | 14.401307904146263 |
| 95.63356755906099 | 44.16471129241473 | 5075.067865858648 | 13.826451018457695 | 14.3573115045063 |
| 90.27300634079342 | 14.709913368541772 | 5039.59863458312 | 13.777190092365087 | 14.318203593715223 |
| 66.73346488575024 | 53.530350294809374 | 4892.405122741114 | 13.126635236879519 | 13.714329206276458 |
| 64.8587912432001 | 35.35455796920176 | 4855.908749660536 | 12.776853158671695 | 13.375350808436671 |
| -53.64831916556537 | -32.595812402656435 | 4854.752641485985 | 12.76623009636547 | 13.365197793135147 |
| -46.87584310414583 | -39.38515541475271 | 4789.363060890498 | 12.23192086544233 | 12.851491317487538 |
| 80.81191419293565 | 31.516610885465813 | 4747.458346750021 | 11.94688436179194 | 12.581530000493744 |
| 96.33858842136043 | 46.06905445046372 | 4618.2593456723625 | 11.191917165072244 | 11.872435221133179 |
# join the star and galaxy catalogs used to make the simulations
combined = table.vstack([sim_star_cat, sim_gal_cat])
combined
| x | y | Teff | Ks | J | si | ell | posang | reff | flux |
|---|---|---|---|---|---|---|---|---|---|
| float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 | float64 |
| 80.2510308154624 | 23.997467884837725 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| -47.261524228197935 | 10.919745186379808 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 0.30699104430734203 | -58.51295402429979 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 93.61585359712294 | 10.466443553979882 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 70.96910779066107 | 63.07387861912006 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 92.9069476014962 | 64.30856174275276 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| -15.68679078862531 | 31.013432097907607 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 46.755851500202645 | -48.43985094005038 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 89.7351811921786 | 53.11182881807044 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| 36.8486881036986 | 55.211246043351814 | 2304.0929760558447 | 22.320700043360187 | 23.18070004336019 | -- | -- | -- | -- | -- |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 67.9805698605627 | 28.494828715119297 | -- | -- | -- | 2.1096031965990987 | 0.20429700021417183 | 163.06816649011344 | 1.2715822225420945 | 13.752965618162937 |
| -4.446155064406765 | 12.985674228459532 | -- | -- | -- | 7.321844705461592 | 0.4501652135521971 | 105.14019169110954 | 1.8511745519437588 | 20.07141274178467 |
| 64.7244492666461 | 10.113732329735475 | -- | -- | -- | 8.656346507536115 | 0.14694556628740923 | 162.43083457274233 | 1.610374819963926 | 66.30990252944302 |
| -26.44617200253474 | -63.88803361596829 | -- | -- | -- | 9.257830349772924 | 0.552517577845459 | 141.17379575911065 | 1.7555307879881636 | 85.42806519275359 |
| 12.353908822597736 | 10.271889771234832 | -- | -- | -- | 1.0276353349444474 | 0.18091589308864187 | 107.22059356945567 | 0.4673720066992323 | 39.37631906390017 |
| -42.21461912208557 | 62.45020775429763 | -- | -- | -- | 5.92465228732547 | 0.16970442816082973 | 202.415935614884 | 1.7791109904857216 | 131.3721604911842 |
| -48.68869520916011 | -16.576483230280186 | -- | -- | -- | 8.178707887219758 | 0.5984672675322196 | 140.78836334886316 | 0.898280342552625 | 59.0685397583837 |
| 86.72084849551925 | -30.653820797204745 | -- | -- | -- | 4.08216110337432 | 0.11388325542173025 | 167.92605707130545 | 1.0411257693724623 | 32.74018847376189 |
| 90.56731424478109 | -11.922514577935111 | -- | -- | -- | 7.5528059599878805 | 0.396357895737423 | 185.127012207533 | 0.25769212999045565 | 168.84275608114189 |
| 65.4485869690741 | 60.09508331438365 | -- | -- | -- | 2.379528991927928 | 0.3037143249770903 | 104.28886580660799 | 1.8117913320142096 | 144.44919876820663 |
sim_ra = combined['x']/3600.
sim_dec = combined['y']/3600.
# Put star positions into RA and Dec
# import coordinate conversion tools
#import miricoord.tel.tel_tools as teltools
#import miricoord.imager.mirim_pipetools as mpt
#import miricoord.imager.mirim_tools as mt
#import pysiaf
#filt = 'F560W'
# use pipeline to get v2ref and v3ref coordinates
#siaf = pysiaf.Siaf('MIRI')
#xref,yref=siaf['MIRIM_FULL'].XDetRef,siaf['MIRIM_FULL'].YDetRef
#xref,yref=xref-1,yref-1
#v2ref,v3ref=mt.xytov2v3(xref,yref,filt)
# set reference for RA and Dec
#raref = 0.0
#decref = 0.0
#rollref = 0.0
#sim_ra = np.zeros(len(combined))
#sim_dec = np.zeros(len(combined))
# cycle through list of coordinates input into scene and get RA/Dec values out, printing to file
#for i in range(len(combined)):
#print(combined['x'][i])
# v2 = v2ref + combined['x'][i]
# v3 = v3ref + combined['y'][i]
# ra,dec,newroll=teltools.jwst_v2v3toradec(v2,v3,v2ref=v2ref,v3ref=v3ref,raref=raref,decref=decref,rollref=rollref)
# sim_ra[i] = ra
# sim_dec[i] = dec
#print(np.shape(sim_ra))
#print(sim_ra, sim_dec)
cat_ra = catalog['sky_centroid'].ra.deg
for i in range(len(cat_ra)):
if (cat_ra[i]>180.):
cat_ra[i] -= 360.
cat_dec = catalog['sky_centroid'].dec.deg
# set the tolerance for differences and initialize counters
tol = 1.e-5 # Set tolerance around 30 mas (units here are in degrees; 36 mas ~ 1e-5 deg)
found_count=0
multiples_count=0
missed_count=0
# Set up array for matches
detected = np.chararray(len(sim_ra))
#print(np.shape(detected))
for ra,dec,idx in zip(sim_ra, sim_dec,range(len(sim_ra))):
match = np.where((np.abs(ra-cat_ra) < tol) & (np.abs(dec-cat_dec) < tol))
#print('match', match)
if np.size(match) == 1:
found_count +=1
detected[idx] = 'Y'
if np.size(match) > 1:
multiples_count +=1
if np.size(match) < 1:
missed_count +=1
#print(np.shape(detected))
total_percent_found = (found_count/len(sim_ra))*100
print('\n')
print('SNR threshold used for pipeline: ',pipe3.source_catalog.snr_threshold)
print('Total matches found:',found_count)
print('Total missed:',missed_count)
print('Number of multiples: ',multiples_count)
print('Total number of input (simulated) sources:',len(combined))
print('Total number in output catalog:',len(catalog))
print('Total percent found:',total_percent_found)
print('\n')
SNR threshold used for pipeline: 8 Total matches found: 435 Total missed: 4604 Number of multiples: 0 Total number of input (simulated) sources: 5039 Total number in output catalog: 562 Total percent found: 8.632665211351458
Photutils includes a package to match sources between catalogs by providing a max separation value. Set that value and compare the two catalogs.
catalog_in = SkyCoord(ra=sim_ra*u.degree, dec=sim_dec*u.degree) # full simulated catalog, stars+galaxies
catalog_out = SkyCoord(ra=cat_ra*u.degree, dec=cat_dec*u.degree)
max_sep = 0.04 * u.arcsec # Set match at around 30 mas
# match full tables
idx, d2d, d3d = match_coordinates_sky(catalog_in, catalog_out)
sep_constraint = d2d < max_sep
combined_matched = combined[sep_constraint] # simulated sources matched
catalog_matched = catalog[idx[sep_constraint]] # sources found matched
print(catalog_matched.colnames)
print()
print(catalog_matched)
['label', 'xcentroid', 'ycentroid', 'sky_centroid', 'aper_bkg_flux', 'aper_bkg_flux_err', 'aper30_flux', 'aper30_flux_err', 'aper50_flux', 'aper50_flux_err', 'aper70_flux', 'aper70_flux_err', 'aper_total_flux', 'aper_total_flux_err', 'aper30_abmag', 'aper30_abmag_err', 'aper50_abmag', 'aper50_abmag_err', 'aper70_abmag', 'aper70_abmag_err', 'aper_total_abmag', 'aper_total_abmag_err', 'aper30_vegamag', 'aper30_vegamag_err', 'aper50_vegamag', 'aper50_vegamag_err', 'aper70_vegamag', 'aper70_vegamag_err', 'aper_total_vegamag', 'aper_total_vegamag_err', 'CI_50_30', 'CI_70_50', 'CI_70_30', 'is_extended', 'sharpness', 'roundness', 'nn_label', 'nn_dist', 'isophotal_flux', 'isophotal_flux_err', 'isophotal_abmag', 'isophotal_abmag_err', 'isophotal_vegamag', 'isophotal_vegamag_err', 'isophotal_area', 'semimajor_sigma', 'semiminor_sigma', 'ellipticity', 'orientation', 'sky_orientation', 'sky_bbox_ll', 'sky_bbox_ul', 'sky_bbox_lr', 'sky_bbox_ur']
label xcentroid ... sky_bbox_ur
... deg,deg
----- --------- ... --------------------------------------------
151 701.0051 ... 0.0009246296863231561,-0.007278115454829337
181 557.1972 ... 0.005625596296441545,-0.004415161299943082
209 722.5026 ... 0.0006950865819388926,-0.0024992377849171726
48 971.1720 ... 359.99201276828796,-0.013757750025689644
244 998.0125 ... 359.99239577666435,0.00011402943214340108
449 762.0006 ... 0.0005718131013182694,0.010180936544626137
252 843.0079 ... 359.99722146497817,0.0005248698354648513
321 793.9419 ... 359.99911692393835,0.004870058869929262
467 151.3946 ... 0.019396758365190114,0.009548663307651892
98 628.5959 ... 0.002826777451067537,-0.011307648954757556
... ... ... ...
471 731.5887 ... 0.0013557048116100267,0.011718990508125034
439 783.0551 ... 359.99960399723057,0.010420372505184667
456 198.9796 ... 0.017085640915059427,0.010678503823021978
427 52.3421 ... 0.021482522843904846,0.010076344842451172
223 704.9537 ... 0.0009496050704853285,-0.0010074307012802237
7 564.1992 ... 0.004174704891008232,-0.018131426004878062
3 789.2974 ... 359.9972046774995,-0.017272557263756486
546 599.1360 ... 0.00573068740693306,0.015444875020962092
153 715.3174 ... 0.00026402483415122413,-0.006354919076269596
443 1046.1414 ... 359.9915897423188,0.011000067622204247
Length = 431 rows
#match RA and Dec
idx, d2d, d3d = match_coordinates_sky(catalog_in, catalog_out)
sep_constraint = d2d < max_sep
catalog_in_matches = catalog_in[sep_constraint]
catalog_out_matches = catalog_out[idx[sep_constraint]]
print(catalog_out_matches)
<SkyCoord (ICRS): (ra, dec) in deg
[(9.95702159e-04, -7.34674114e-03), (5.69051404e-03, -4.48628645e-03),
(7.49648931e-04, -2.58081997e-03), (3.59992077e+02, -1.38452742e-02),
(3.59992465e+02, 2.98859764e-05), (6.40877785e-04, 1.00878668e-02),
(3.59997291e+02, 4.41754549e-04), (3.59999188e+02, 4.77733295e-03),
(1.94541150e-02, 9.46090993e-03), (2.87788595e-03, -1.13957341e-02),
(5.58344156e-03, -4.44521995e-03), (3.59994260e+02, -6.89382605e-03),
(8.89239229e-04, -2.62918598e-03), (3.59998007e+02, -8.09516922e-03),
(2.26681372e-03, -1.20218889e-02), (3.59997244e+02, 5.32192244e-03),
(4.01435667e-04, -3.38420661e-03), (4.76953674e-03, 5.58791569e-03),
(3.59992428e+02, -5.81213997e-03), (3.59996679e+02, 2.25700329e-03),
(6.45601527e-04, -1.30546777e-03), (3.59999695e+02, 1.37771363e-03),
(4.01301916e-03, 6.32844648e-03), (1.22959429e-02, 5.39585907e-03),
(2.00142582e-02, 7.90781057e-03), (2.26853794e-02, 5.43819640e-03),
(1.34167544e-03, 9.34409414e-03), (1.39163792e-03, 1.08872737e-02),
(1.90192007e-02, 1.45937806e-02), (4.42669746e-03, 1.36350501e-04),
(3.26801499e-03, 1.97203467e-03), (7.97530492e-03, 6.65751324e-03),
(6.59651450e-03, -1.43379067e-02), (3.59994982e+02, 7.30036214e-03),
(1.02833698e-02, -6.90797818e-03), (3.59999117e+02, 3.62554056e-03),
(3.59996035e+02, 1.72558440e-03), (8.94346165e-03, 3.97667169e-03),
(3.59996121e+02, 7.06363086e-03), (1.01279029e-02, -9.28427735e-03),
(2.67125596e-04, 4.07441497e-03), (9.58672339e-03, -1.36204992e-02),
(9.76804858e-03, 2.39102383e-04), (1.75492031e-02, 1.02892478e-02),
(3.59991044e+02, 1.16494566e-02), (3.59996229e+02, -1.27313444e-02),
(1.28483320e-03, -1.74730344e-03), (5.34701997e-03, -4.83933352e-03),
(1.44306337e-02, 8.24135889e-03), (3.59997454e+02, -2.88104165e-03),
(1.01866505e-02, 1.08674024e-02), (3.59997513e+02, -6.31062060e-03),
(1.67797192e-02, 7.19605533e-03), (3.59996366e+02, -7.99709775e-03),
(3.59995193e+02, 8.85226982e-03), (3.05506971e-03, -3.77164423e-03),
(6.84278088e-03, -1.58121984e-03), (8.30802221e-03, -1.13981727e-02),
(7.30474989e-04, 1.24423613e-03), (3.59998367e+02, -1.27560810e-02),
(3.59997631e+02, -1.71553576e-02), (6.05570054e-03, -1.07090255e-02),
(3.59994264e+02, -9.38196528e-03), (3.59990349e+02, -5.25298291e-03),
(1.39092848e-02, 7.85139421e-03), (3.59999116e+02, 4.31987780e-03),
(5.06151541e-03, 5.51654313e-04), (1.42391636e-02, 1.49295538e-02),
(3.59993041e+02, 4.11118725e-03), (3.59992151e+02, -1.51597591e-02),
(6.29249753e-03, 9.44610993e-03), (3.59993014e+02, -1.06836110e-02),
(3.59996501e+02, 1.51637266e-02), (9.93264109e-03, -1.57970888e-02),
(7.16774011e-03, 1.53906013e-02), (3.59992445e+02, 1.04766873e-02),
(1.83252571e-02, 1.12495855e-02), (2.00167968e-03, 4.46850881e-03),
(6.47779489e-03, -1.60869092e-02), (6.93601373e-03, -1.10351059e-02),
(1.45899287e-02, 9.54374473e-03), (2.20404712e-02, 5.86952921e-03),
(3.17034770e-03, -1.68212375e-02), (1.11898383e-02, -2.56919666e-03),
(3.59995561e+02, -4.50540584e-03), (1.01523858e-02, 1.21369021e-02),
(5.97458525e-03, 3.78846247e-03), (3.59995869e+02, 9.92938262e-03),
(3.59990679e+02, -1.32173240e-02), (3.59995684e+02, -3.26552356e-03),
(3.59995084e+02, -2.70758946e-03), (6.77238676e-04, 1.46028628e-03),
(3.59992193e+02, -5.90862568e-03), (2.07791124e-02, 1.27955162e-02),
(8.47742021e-03, -3.99544037e-04), (1.05302089e-02, -9.27953431e-03),
(3.59992978e+02, 1.58991705e-02), (6.25754279e-03, 5.66850987e-04),
(3.59999601e+02, -1.57367490e-02), (3.59998597e+02, -1.09064127e-02),
(8.09387098e-05, -3.07905302e-03), (1.48669874e-03, 7.36076392e-03),
(9.38779996e-04, -3.63700401e-03), (2.58742980e-03, 6.56515711e-03),
(1.40517405e-02, 5.20241813e-03), (3.59997153e+02, 9.06563056e-04),
(4.48889057e-05, -1.71265908e-02), (3.59993466e+02, -3.02266638e-03),
(3.30788640e-03, -1.12154374e-02), (6.81858508e-03, -1.78820441e-03),
(2.36093058e-02, 6.45072801e-03), (1.70896177e-03, 6.41872616e-03),
(3.59998498e+02, -1.75788871e-02), (7.93716968e-03, 1.36804848e-02),
(3.59999553e+02, -2.52454578e-03), (3.59999061e+02, -1.31504741e-02),
(8.37515562e-03, -1.68164870e-02), (3.59989995e+02, 6.52694520e-03),
(3.59993232e+02, 1.34350903e-02), (1.52656983e-02, 1.38102992e-02),
(3.05588592e-03, -1.28623951e-02), (3.59993897e+02, -8.43539780e-03),
(9.67710038e-03, 8.59694231e-03), (1.90461751e-02, 8.86344430e-03),
(3.59997823e+02, 1.56445593e-02), (1.01965581e-02, -1.13792343e-02),
(3.59993142e+02, -1.09206549e-02), (2.33508162e-03, 5.86910579e-03),
(1.79011236e-02, 1.07159986e-02), (1.66518313e-02, 4.89704671e-03),
(4.88255071e-03, -1.08956345e-02), (4.79399037e-03, -9.16039992e-04),
(4.30397598e-03, -2.63934573e-03), (5.24522228e-03, -1.85259059e-03),
(3.59994462e+02, 2.24914859e-03), (3.60633162e-03, -3.01756455e-03),
(1.32810158e-02, 1.10119648e-02), (3.59997984e+02, -9.91604690e-03),
(1.01316123e-03, 2.88835697e-03), (9.65768177e-03, -1.69887928e-02),
(3.59991830e+02, 1.35487504e-02), (1.84040280e-02, 8.35402572e-03),
(3.18552595e-03, -8.14599009e-03), (3.59996664e+02, -1.73273996e-02),
(7.39519927e-03, -1.08359613e-02), (8.75851617e-04, -1.69097957e-02),
(2.62323736e-03, 1.21829100e-02), (1.52724238e-03, -1.39391328e-02),
(1.07133974e-02, 6.90412134e-03), (3.59993501e+02, 9.56629510e-03),
(8.45881846e-03, 9.94691563e-03), (3.59991369e+02, 7.68222625e-03),
(3.59989652e+02, -5.40661784e-04), (3.59989755e+02, -8.12087824e-04),
(3.59992117e+02, -6.21181522e-03), (3.59993113e+02, 4.94492886e-03),
(8.66694974e-03, -4.23129070e-03), (3.59993109e+02, 4.76610771e-03),
(1.59972248e-03, 1.37732091e-02), (3.59995429e+02, 8.88683665e-03),
(2.05826909e-02, 5.55158485e-03), (2.36961277e-04, 1.21790683e-02),
(9.07725127e-03, -4.65355189e-03), (3.59994919e+02, 6.24602687e-04),
(3.59994135e+02, -1.08493446e-02), (7.35223981e-04, 1.19438546e-02),
(3.59994652e+02, -8.74595059e-03), (1.28423240e-03, -1.48962664e-02),
(3.59989225e+02, -7.37400603e-03), (3.59998766e+02, 7.32223315e-03),
(3.59999122e+02, 1.50358904e-02), (1.68869138e-03, 1.48127754e-02),
(1.03028299e-02, 7.78688942e-03), (6.29957841e-03, -7.96236297e-03),
(3.59991656e+02, -2.51171302e-03), (3.59995590e+02, 1.69011809e-02),
(3.59989164e+02, -4.86092817e-03), (1.78827003e-02, 1.26844239e-02),
(1.90617565e-02, 3.64123678e-03), (5.98949458e-03, 1.02661031e-02),
(1.14985191e-02, -3.48021900e-03), (1.22637739e-03, -1.44022429e-02),
(1.35985490e-02, 1.15805080e-02), (3.59990286e+02, 4.40073705e-03),
(1.63211142e-02, 7.71230997e-03), (4.29777000e-03, 8.71048350e-03),
(2.34363352e-02, 6.91469921e-03), (3.59996067e+02, -9.01361663e-03),
(3.59995608e+02, -6.31145245e-03), (3.59999053e+02, -3.15966220e-03),
(3.39763664e-03, -1.01843990e-02), (7.21304194e-04, 1.28933176e-02),
(3.59992440e+02, -8.76817557e-04), (3.48668995e-03, -1.42200427e-02),
(2.32272655e-03, -8.30155171e-03), (3.59993586e+02, 6.21574361e-03),
(3.59994591e+02, -1.13051477e-02), (3.59994838e+02, 5.40882471e-03),
(1.89883989e-02, 4.45356597e-03), (3.59998452e+02, -8.63222667e-03),
(1.16437196e-02, 8.34717208e-03), (7.91093341e-03, -3.07201122e-04),
(3.59993586e+02, -1.54122339e-02), (3.59998911e+02, 4.27039777e-03),
(1.29205121e-03, 1.35798854e-02), (3.59992881e+02, -7.08580170e-03),
(1.58838902e-02, 1.05480285e-02), (2.07554792e-02, 9.94874999e-03),
(9.92288891e-03, -1.76751812e-02), (3.59997074e+02, 1.22109142e-02),
(3.59991499e+02, -7.16324411e-03), (8.70307273e-03, -3.89748694e-03),
(7.53771865e-03, -6.27003531e-03), (3.59993821e+02, -9.30992930e-03),
(4.14626067e-04, -1.70247076e-02), (6.48695933e-03, -1.37040491e-02),
(5.18615455e-03, 8.26337086e-03), (6.84192824e-03, -1.62722286e-02),
(3.59991975e+02, 1.33915992e-02), (9.76871007e-03, 1.33271732e-02),
(1.05753130e-02, -2.05097230e-03), (3.59993021e+02, -6.84819436e-04),
(3.59994019e+02, 4.10335992e-04), (7.34101912e-03, 2.19974023e-03),
(3.59998365e+02, 1.03393002e-02), (3.59995660e+02, -1.69125823e-02),
(3.59997107e+02, -1.68084760e-03), (5.26177221e-03, 1.29820692e-02),
(1.80979909e-03, -4.54150515e-03), (8.38636927e-03, 7.14721077e-03),
(3.59997331e+02, 9.25320986e-03), (1.74304273e-02, 7.46838050e-03),
(2.79987730e-03, -9.57815529e-03), (9.32494078e-03, 8.14611059e-03),
(3.59998934e+02, -1.46432340e-02), (3.59994653e+02, 1.96667001e-03),
(7.49632790e-03, -1.24921487e-02), (9.31876348e-03, 5.67105314e-03),
(6.64577680e-03, 1.35465070e-02), (4.61641375e-03, -1.72963221e-02),
(3.59992434e+02, 6.85209550e-03), (1.86419243e-02, 1.29345258e-02),
(2.32202584e-02, 6.00467763e-03), (1.23724983e-02, -9.88355938e-04),
(3.59991955e+02, 1.39357885e-02), (3.59992910e+02, -7.38240173e-03),
(6.83717429e-03, 8.04383107e-03), (1.01637713e-02, 1.41366852e-02),
(4.64343005e-03, 4.80122415e-03), (3.59994850e+02, -5.19382874e-03),
(3.62374622e-03, -4.88128885e-04), (3.01185142e-03, 2.32649698e-03),
(3.59997413e+02, -1.03377938e-02), (6.66899466e-03, -2.80741049e-03),
(9.55899091e-03, -1.64904273e-04), (3.59997196e+02, 1.29391535e-02),
(3.25970007e-03, 3.91635761e-03), (2.12877549e-02, 8.31033482e-03),
(3.59998463e+02, 4.61855028e-03), (5.49519524e-05, 3.38247526e-03),
(2.09844778e-03, 5.63018190e-03), (5.47563232e-03, -1.47536390e-02),
(5.60520308e-03, 1.07708649e-02), (6.31643589e-03, -4.26643791e-03),
(3.59990382e+02, -3.59476330e-03), (2.86411535e-03, -1.18573740e-02),
(1.12936169e-03, 9.27124666e-03), (7.98699497e-03, -1.56562491e-02),
(1.25099971e-02, 3.49459149e-03), (3.47095816e-03, -3.39100610e-03),
(7.15036974e-03, -6.76943918e-05), (3.59994351e+02, -6.22449455e-04),
(4.42958495e-03, -1.51910942e-02), (3.59996877e+02, 1.47613858e-02),
(3.59995370e+02, -1.78112366e-03), (3.59992025e+02, 8.55025772e-03),
(1.01579515e-02, -3.10736767e-03), (1.86131657e-02, 1.08974686e-02),
(3.59995951e+02, 1.99385296e-04), (4.29338486e-03, 1.35016868e-02),
(3.59997791e+02, -1.21733186e-02), (3.59994792e+02, -1.23222024e-02),
(8.56390958e-03, 5.17735610e-03), (7.23968732e-03, -6.16332660e-03),
(3.75497389e-03, 1.28759400e-02), (1.07117946e-02, 1.16999708e-02),
(8.92794325e-03, 5.26567459e-03), (4.80666569e-03, -1.76928217e-02),
(3.59994991e+02, -1.11834435e-02), (1.77862610e-02, 7.14378804e-03),
(1.44210150e-03, -2.05086241e-03), (3.59994611e+02, 1.39341670e-02),
(1.94991860e-02, 1.49131599e-02), (2.07829064e-02, 1.47522874e-02),
(3.59992810e+02, 7.70488013e-03), (8.03836822e-03, 4.92873790e-03),
(3.59996377e+02, 1.32007662e-02), (3.59998807e+02, 8.96633727e-03),
(3.59992249e+02, 1.54442790e-02), (2.62573155e-03, -1.13538963e-02),
(3.59997944e+02, -6.15225859e-03), (7.20446104e-03, -1.26426475e-02),
(3.59997756e+02, 4.76335313e-03), (3.59999648e+02, 1.52822942e-02),
(3.59994000e+02, -6.99531760e-03), (3.59993814e+02, -1.30261207e-02),
(3.59998422e+02, 1.24189098e-02), (4.57389143e-03, 1.20120374e-02),
(1.78247299e-02, 8.13517286e-03), (4.99691099e-03, -2.99090485e-03),
(3.59997737e+02, 5.83850997e-03), (3.59994803e+02, -1.65779658e-02),
(3.59991446e+02, -8.06667478e-03), (3.86870969e-03, 9.50261448e-03),
(6.40586060e-03, 5.04442895e-03), (1.05876007e-02, 5.32698561e-03),
(3.59999831e+02, 2.06201988e-03), (1.74158781e-02, 7.81799766e-03),
(3.59993925e+02, 1.17446825e-02), (3.59991414e+02, 9.48101696e-03),
(3.59991494e+02, -5.30845086e-04), (2.94456584e-03, -8.48235547e-03),
(4.26855842e-03, 6.40504476e-03), (3.59990737e+02, -1.67383012e-03),
(2.88991744e-03, -1.52451673e-02), (1.32221615e-02, 8.92215797e-03),
(7.42032645e-03, -4.07129216e-03), (3.59994116e+02, -8.75956589e-03),
(4.49106564e-03, 5.94288132e-03), (3.59996182e+02, -1.41924436e-02),
(3.98783470e-03, -6.35414800e-03), (3.59994773e+02, 1.35626964e-02),
(3.59996549e+02, 9.88322716e-03), (4.14478255e-03, -1.61559386e-03),
(1.65419083e-02, 1.09655829e-02), (1.01771885e-02, -8.70075850e-03),
(2.12704500e-02, 1.46337332e-02), (3.59991334e+02, -1.21787854e-02),
(1.08035211e-02, -1.80107801e-02), (3.59999257e+02, 1.29574976e-02),
(3.59993373e+02, -1.43528989e-02), (3.59993738e+02, -5.25171717e-04),
(8.42750327e-03, -1.18535515e-02), (2.87942871e-03, 1.60662278e-02),
(6.03860526e-04, -1.79547431e-02), (5.92056352e-03, 8.40881546e-03),
(3.59991065e+02, 8.74240123e-03), (3.59992661e+02, -2.49308361e-03),
(3.59994954e+02, 1.06957702e-02), (3.59989192e+02, -1.33257561e-02),
(3.59989985e+02, 6.88219991e-03), (3.59999220e+02, -1.38254733e-02),
(6.27875695e-03, 1.07590003e-02), (1.05346647e-02, 3.51042968e-03),
(3.59999803e+02, -1.72998396e-02), (2.26396826e-03, -1.36038915e-02),
(2.29698640e-02, 1.15045230e-02), (1.19798126e-02, 9.43262992e-04),
(5.36955562e-03, 1.11590001e-02), (3.59998814e+02, -1.42235163e-02),
(3.59990323e+02, 2.85170185e-03), (1.96593933e-03, -1.35108754e-02),
(1.42560327e-02, 4.85871963e-03), (4.80483650e-03, -1.20192066e-02),
(3.59994970e+02, 1.20045201e-02), (7.11179488e-03, 5.62734298e-03),
(5.78423469e-03, 5.53843708e-03), (6.20634318e-03, 1.15523436e-02),
(1.08512027e-02, 3.72921038e-04), (8.93198392e-03, -1.55808937e-03),
(3.59992654e+02, 2.83131380e-03), (3.59992683e+02, 1.72451070e-03),
(3.59992438e+02, 5.27720795e-03), (3.59993837e+02, 4.61812172e-03),
(1.09376382e-02, -1.46678996e-02), (5.31178421e-03, 3.24762748e-03),
(8.09062275e-03, -2.75752819e-03), (3.59995590e+02, -1.38963940e-03),
(6.95240938e-03, 7.81194977e-03), (3.59992445e+02, -1.59660647e-02),
(1.02715521e-02, -4.90198367e-03), (1.08754979e-02, -3.22398330e-03),
(6.77102651e-03, 1.09094112e-02), (1.38679360e-02, 4.07954894e-03),
(3.59995203e+02, -1.09909045e-03), (3.59997578e+02, 2.82958236e-03),
(3.59993415e+02, -1.21326962e-02), (2.06967867e-02, 1.20890940e-02),
(4.81537254e-03, 6.08167590e-03), (3.59989474e+02, -3.60126399e-04),
(4.05549623e-03, 7.98235007e-03), (6.86527751e-03, -1.03627026e-02),
(3.59991259e+02, 1.07565614e-02), (4.10222536e-03, 1.49474840e-02),
(3.87751183e-03, -1.62774260e-02), (1.08147065e-03, -1.11871621e-02),
(8.54098234e-03, -7.98156561e-03), (5.64444840e-03, 1.19684165e-03),
(6.44443578e-03, 5.44166808e-03), (3.59998145e+02, 7.10810078e-03),
(3.59996612e+02, 1.17723655e-02), (3.59990180e+02, 1.19539845e-03),
(1.20939719e-02, 9.43637598e-03), (2.30206174e-02, 4.05840664e-03),
(3.59995691e+02, 1.28175020e-02), (2.00977706e-02, 5.56508800e-03),
(3.59997681e+02, -4.85708898e-03), (8.41826059e-03, 1.55349856e-02),
(6.67358758e-04, 3.55674578e-03), (3.59989934e+02, -8.22183456e-03),
(3.59996942e+02, 6.69209786e-03), (5.28289593e-03, -1.43566824e-02),
(7.49146228e-03, 1.54178346e-02), (3.59994732e+02, -1.40194189e-02),
(6.18639373e-03, 5.76356731e-03), (7.26931000e-03, -1.00702101e-02),
(2.05362927e-02, 7.75263705e-03), (3.59998929e+02, 3.02202456e-03),
(3.59998142e+02, -1.70116050e-02), (3.59993733e+02, 9.26147363e-03),
(3.59997622e+02, -1.17698648e-02), (1.69404204e-03, 1.13801732e-02),
(3.59999989e+02, 1.00786070e-02), (1.80152913e-02, 9.82091330e-03),
(2.24528491e-02, 8.75355602e-03), (1.38763442e-03, -1.49017107e-03),
(4.26750784e-03, -1.82361941e-02), (3.59997367e+02, -1.76046225e-02),
(6.12173010e-03, 1.51951168e-02), (6.05252934e-04, -6.75630066e-03),
(3.59991921e+02, 1.07789328e-02)]>
Now, catalog_in_matches and catalog_out_matches are the matched sources in catalog_in and catalog_out, respectively, which are separated less than our max_sep value.
print('Number of matched sources using max separation of '+str(max_sep)+': ',len(catalog_matched))
Number of matched sources using max separation of 0.04 arcsec: 431
The simulated positions are in red and the sources found with source catalog are marked in blue. Matched sources from both are marked in green.
#rrr = catalog_in_matches.ra.deg
#ddd = catalog_in_matches.dec.deg
rrr = catalog_matched['sky_centroid'].ra.deg
ddd = catalog_matched['sky_centroid'].dec.deg
# make sure ra is in proper range for display
plt.figure(figsize=(20,20))
for i in range(len(rrr)):
if (rrr[i]>180.):
rrr[i] -= 360.
plt.scatter(rrr, ddd, lw=1, s=108,color='green')
plt.scatter(sim_ra, sim_dec,lw=1, s=18,color='red')
plt.scatter(cat_ra, cat_dec,lw=1, s=18,color='blue')
<matplotlib.collections.PathCollection at 0x7f8e52c6b7c0>
# Convert matched RA/Dec values back to x, y to plot on image
#print(catalog_out_matches)
# Read in wcs values from file header (in extension 1)
#hdu = fits.open(input_file)[1]
#wcs = WCS(hdu.header)
# convert positions from RA/Dec back to x,y
#x_matched, y_matched = wcs.world_to_pixel(catalog_out_matches)
#print(x_matched)
# Plot all matched sources in red
viz2 = LogStretch() + ManualInterval(0,10)
plt.figure(figsize=(20,20))
plt.imshow(viz2(im_i2d.data), origin='lower')
#plt.imshow(im_i2d.data, origin='lower', cmap='rainbow', vmin=0, vmax=0.3)
plt.colorbar()
#plt.scatter(x_matched, y_matched,lw=1, s=10,color='red')
plt.scatter(catalog_matched['xcentroid'], catalog_matched['ycentroid'], lw=1, s=10, color='red')
<matplotlib.collections.PathCollection at 0x7f8e52e2d1c0>
The full source_catalog output is shown with red dots and the matched sources are shown with smaller white dots over the red dots. This shows the sources that were found in the catalog (source_catalog step) but not listed as a match between the input and calculated catalogs.
viz2 = LogStretch() + ManualInterval(0,10)
plt.figure(figsize=(20,20))
plt.imshow(viz2(im_i2d.data), origin='lower')
#plt.imshow(im_i2d.data, origin='lower', cmap='rainbow', vmin=0, vmax=0.3)
plt.colorbar()
plt.scatter(data['xcentroid'], data['ycentroid'],lw=1, s=10,color='red')
#plt.scatter(x_matched, y_matched,lw=1, s=5,color='white')
plt.scatter(catalog_matched['xcentroid'], catalog_matched['ycentroid'], lw=1, s=5, color='white')
<matplotlib.collections.PathCollection at 0x7f8e52d5cf10>
Are there more stars/galaxies in the simulation input catalogs than actually fit on the combined image? That would explain the sources beyond image edges.
print(catalog_in)
<SkyCoord (ICRS): (ra, dec) in deg
[(2.22919530e-02, 0.00666596), (3.59986872e+02, 0.00303326),
(8.52752901e-05, -0.0162536 ), ..., (2.40891246e-02, -0.00851495),
(2.51575873e-02, -0.00331181), (1.81801630e-02, 0.01669308)]>
# Read in wcs values from file header (in extension 1)
hdu = fits.open(input_file)[1]
wcs = WCS(hdu.header)
# convert positions from RA/Dec back to x,y
x_sim, y_sim = wcs.world_to_pixel(catalog_in)
# Many sources go beyond image edges. Only display sources that were actually in FOV of combined image.
minval = 0
maxval = 1140
ind = np.where((x_sim > minval) & (x_sim < 1110)& (y_sim > minval) & (y_sim < maxval))
viz2 = LogStretch() + ManualInterval(0,10)
plt.figure(figsize=(20,20))
plt.imshow(viz2(im_i2d.data), origin='lower')
#plt.imshow(im_i2d.data, origin='lower', cmap='rainbow', vmin=0, vmax=0.3)
plt.colorbar()
plt.scatter(x_sim[ind], y_sim[ind],lw=1, s=5,color='red')
<matplotlib.collections.PathCollection at 0x7f8e52d37b80>
Input catalog 'combined' has Ks and J columns for stars and flux for galaxies. Output source catalog 'catalog' has aper_total_flux, 'isophotal_flux', 'aper_total_abmag', 'aper_total_vegamag', 'isophotal_abmag' and isophotal_vegamag.
The first plot compares the magnitudes for the input simulated catalog (in blue) and the sources found with source catalog in green.
flux, wref = mag2flux(combined_matched['Ks'], band="Ks", system="2MASS")
fnew = extrapolate_flux(flux, wref, 7.7, combined_matched['Teff'])
F770W_ABmag = -2.5*np.log10((fnew.to(u.Jy)).value) + 8.9
2021-10-05 16:05:20,079 - stpipe - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/astropy/units/quantity.py:486: RuntimeWarning: divide by zero encountered in true_divide result = super().__array_ufunc__(function, method, *arrays, **kwargs) 2021-10-05 16:05:20,091 - stpipe - WARNING - /data1/jenkins/workspace/Notebooks/jwst_validation_notebooks_spacetelescope/miniconda3/envs/jwst_validation_notebooks/lib/python3.9/site-packages/astropy/units/quantity.py:486: RuntimeWarning: invalid value encountered in true_divide result = super().__array_ufunc__(function, method, *arrays, **kwargs)
Magnitude Ks
------------------
19.88386593994985
19.859295642920145
19.828355268882742
19.827445257881642
19.82380521387724
19.782854718827735
19.75828442179803
19.74554426778263
19.73826417977383
19.73007408076393
...
14.414375725214086
13.952102383594207
13.881869560311879
12.776853158671695
11.94688436179194
--
--
--
--
--
--
Length = 431 rows in 2MASS band Ks -> Flux: [7.41966127e-06 7.58948310e-06 7.80887278e-06 7.81542054e-06
7.84166653e-06 8.14307749e-06 8.32945692e-06 8.42777142e-06
8.48447127e-06 8.54871469e-06 8.70780950e-06 8.72241867e-06
8.82537138e-06 8.94452043e-06 9.10334816e-06 9.21079708e-06
9.22625010e-06 9.24172906e-06 9.27276492e-06 9.31170635e-06
9.33514966e-06 9.33514966e-06 9.46911432e-06 9.59695437e-06
9.62111583e-06 9.70209421e-06 9.71837149e-06 9.71837149e-06
9.73467608e-06 9.75918427e-06 9.79195786e-06 9.85783560e-06
9.89094048e-06 9.97418990e-06 1.00497133e-05 1.03488913e-05
1.04010660e-05 1.04185160e-05 1.04798217e-05 1.05712618e-05
1.06134138e-05 1.06275018e-05 1.06345528e-05 1.06416085e-05
1.06698781e-05 1.07124233e-05 1.07266427e-05 1.07408810e-05
1.07765594e-05 1.07765594e-05 1.08770909e-05 1.08915288e-05
1.08987550e-05 1.09059860e-05 1.09277077e-05 1.09567373e-05
1.10077248e-05 1.10077248e-05 1.10736289e-05 1.10956845e-05
1.11030461e-05 1.11621153e-05 1.11621153e-05 1.11917676e-05
1.12438488e-05 1.12438488e-05 1.12587736e-05 1.12662434e-05
1.13186712e-05 1.13487394e-05 1.13939915e-05 1.14166852e-05
1.14546085e-05 1.14546085e-05 1.15155480e-05 1.15614652e-05
1.16075656e-05 1.16152668e-05 1.16384013e-05 1.16461230e-05
1.16538498e-05 1.16693188e-05 1.17547663e-05 1.17938126e-05
1.19830480e-05 1.19909983e-05 1.20788012e-05 1.21672471e-05
1.21672471e-05 1.21995695e-05 1.21995695e-05 1.22157630e-05
1.24117687e-05 1.24447407e-05 1.24447407e-05 1.24612595e-05
1.24860789e-05 1.25026526e-05 1.26192863e-05 1.26528096e-05
1.26612043e-05 1.27032616e-05 1.27962800e-05 1.27962800e-05
1.28302734e-05 1.28387859e-05 1.29585552e-05 1.29585552e-05
1.30707698e-05 1.32893056e-05 1.32981226e-05 1.33688697e-05
1.33777395e-05 1.35204595e-05 1.36647021e-05 1.37556342e-05
1.38379902e-05 1.38839565e-05 1.38839565e-05 1.39670809e-05
1.39856204e-05 1.41442036e-05 1.42666853e-05 1.43045849e-05
1.43235725e-05 1.43902276e-05 1.44667848e-05 1.45148398e-05
1.45437493e-05 1.45920599e-05 1.46308239e-05 1.46308239e-05
1.46989089e-05 1.46989089e-05 1.48360307e-05 1.48853122e-05
1.51233294e-05 1.51874417e-05 1.52887391e-05 1.53442768e-05
1.53814139e-05 1.54093258e-05 1.54559581e-05 1.55308635e-05
1.55402521e-05 1.56250059e-05 1.56817651e-05 1.56912450e-05
1.57959027e-05 1.58150063e-05 1.58245667e-05 1.58820508e-05
1.59108711e-05 1.59686687e-05 1.60266763e-05 1.60557590e-05
1.61726187e-05 1.61921779e-05 1.63989825e-05 1.64287409e-05
1.64784582e-05 1.64884197e-05 1.64884197e-05 1.65083608e-05
1.66184685e-05 1.66889192e-05 1.67596685e-05 1.69020681e-05
1.70148019e-05 1.71905075e-05 1.73890324e-05 1.77285861e-05
1.77607572e-05 1.77929867e-05 1.78145055e-05 1.79008413e-05
1.79333250e-05 1.79333250e-05 1.80966299e-05 1.81185159e-05
1.81294688e-05 1.81623674e-05 1.83277579e-05 1.84388542e-05
1.84946546e-05 1.85618380e-05 1.85730589e-05 1.86630710e-05
1.88786018e-05 1.91197172e-05 1.91775780e-05 1.91891712e-05
1.94695194e-05 1.95166407e-05 1.95166407e-05 1.96824651e-05
1.97181818e-05 1.97301018e-05 1.97420290e-05 1.98257213e-05
1.98616980e-05 2.00789332e-05 2.02128560e-05 2.02740249e-05
2.02985443e-05 2.03722805e-05 2.05205575e-05 2.06506823e-05
2.07066309e-05 2.07189739e-05 2.09424114e-05 2.13837943e-05
2.14987886e-05 2.15757948e-05 2.16144013e-05 2.19257505e-05
2.19780763e-05 2.20305270e-05 2.20699471e-05 2.22415845e-05
2.22813823e-05 2.23611917e-05 2.25485271e-05 2.26697849e-05
2.27645471e-05 2.28460872e-05 2.28869666e-05 2.30364861e-05
2.30495456e-05 2.30495456e-05 2.30756868e-05 2.31542884e-05
2.32595071e-05 2.33255115e-05 2.34182324e-05 2.35780409e-05
2.36047814e-05 2.37254898e-05 2.44905577e-05 2.46018487e-05
2.46996432e-05 2.48822941e-05 2.50520934e-05 2.51516777e-05
2.51659363e-05 2.53951763e-05 2.54239777e-05 2.54672411e-05
2.56265044e-05 2.57137947e-05 2.57867638e-05 2.58306445e-05
2.59774537e-05 2.59774537e-05 2.60069155e-05 2.61250973e-05
2.61695538e-05 2.61843894e-05 2.62884746e-05 2.64528737e-05
2.66333909e-05 2.66635966e-05 2.69369944e-05 2.73523564e-05
2.77426594e-05 2.80589079e-05 2.80911693e-05 2.81249499e-05
2.81587711e-05 2.85506507e-05 2.85849838e-05 2.88958459e-05
2.99027209e-05 3.01191249e-05 3.01734701e-05 3.02097547e-05
3.07038893e-05 3.09446805e-05 3.09632810e-05 3.13941902e-05
3.18119747e-05 3.20807276e-05 3.21579303e-05 3.27429038e-05
3.29600501e-05 3.32185350e-05 3.46456235e-05 3.54245445e-05
3.57667762e-05 3.61992188e-05 3.67471321e-05 3.79590938e-05
3.82797786e-05 3.84180430e-05 3.86495943e-05 3.86976757e-05
3.88191603e-05 3.88191603e-05 3.95561189e-05 3.95809237e-05
3.98048678e-05 3.99548674e-05 4.04082661e-05 4.09180794e-05
4.11753930e-05 4.16948847e-05 4.17471930e-05 4.34561611e-05
4.34561611e-05 4.36746434e-05 4.46434923e-05 4.49242332e-05
4.55480931e-05 4.56910834e-05 4.58345226e-05 4.62965610e-05
4.67632570e-05 4.71754736e-05 4.75614990e-05 4.91990934e-05
5.06384795e-05 5.09888739e-05 5.10848561e-05 5.13738880e-05
5.32427838e-05 5.34769357e-05 5.55038117e-05 5.83557094e-05
5.99172328e-05 6.09401169e-05 6.15205406e-05 6.38980466e-05
6.39413267e-05 6.79130301e-05 6.90256622e-05 7.03944407e-05
7.16932091e-05 7.33131782e-05 7.39613527e-05 7.52239926e-05
7.70801571e-05 7.87530785e-05 7.89005046e-05 8.07416132e-05
8.15510159e-05 8.25741890e-05 8.50824871e-05 8.56145636e-05
8.58818484e-05 8.83803564e-05 8.85458048e-05 8.90440107e-05
8.98805910e-05 9.31899867e-05 9.34226620e-05 9.67417800e-05
9.96183139e-05 1.00053991e-04 1.02388707e-04 1.05236145e-04
1.05630519e-04 1.11072583e-04 1.13251811e-04 1.14031116e-04
1.14684631e-04 1.15144319e-04 1.15605850e-04 1.16069230e-04
1.27255001e-04 1.28791364e-04 1.39041200e-04 1.42663155e-04
1.54503139e-04 1.55451849e-04 1.56269665e-04 1.56406385e-04
1.62328917e-04 1.67081831e-04 1.73484444e-04 1.82910365e-04
1.86813490e-04 1.88217100e-04 1.88588221e-04 2.03658780e-04
2.18916126e-04 2.26075728e-04 2.29569297e-04 2.35809647e-04
2.44001880e-04 2.45379014e-04 2.53696727e-04 2.54026439e-04
2.92712299e-04 3.11178933e-04 3.25501567e-04 3.28755549e-04
3.30472978e-04 3.50017967e-04 3.59098450e-04 3.66040926e-04
3.83711622e-04 3.98491438e-04 4.32269684e-04 4.43532497e-04
4.70444602e-04 5.01225556e-04 5.16234099e-04 5.21118026e-04
5.68069522e-04 6.30880897e-04 6.36739187e-04 6.98896707e-04
7.44336141e-04 7.49118509e-04 8.01996302e-04 8.28825166e-04
8.58015300e-04 9.43029406e-04 9.67280735e-04 9.95125008e-04
1.14335255e-03 1.75020734e-03 1.86716471e-03 5.16641385e-03
1.10962622e-02 6.66700000e+03 6.66700000e+03 6.66700000e+03
6.66700000e+03 6.66700000e+03 6.66700000e+03] Jy at 2.159 micron microns
Assuming T= Teff
------------------
3014.598904246537
3020.348160630979
3027.603564679291
3027.817222554704
3028.672004845284
3038.304949662553
3044.099416749077
3047.1083045162154
3048.829004068853
3050.765952551302
...
5733.506895774656
5193.997188026154
5115.269231711902
4855.908749660536
4747.458346750021
--
--
--
--
--
--
Length = 431 rows K, Flux: [7.41966127e-03 7.58948310e-03 7.80887278e-03 7.81542054e-03
7.84166653e-03 8.14307749e-03 8.32945692e-03 8.42777142e-03
8.48447127e-03 8.54871469e-03 8.70780950e-03 8.72241867e-03
8.82537138e-03 8.94452043e-03 9.10334816e-03 9.21079708e-03
9.22625010e-03 9.24172906e-03 9.27276492e-03 9.31170635e-03
9.33514966e-03 9.33514966e-03 9.46911432e-03 9.59695437e-03
9.62111583e-03 9.70209421e-03 9.71837149e-03 9.71837149e-03
9.73467608e-03 9.75918427e-03 9.79195786e-03 9.85783560e-03
9.89094048e-03 9.97418990e-03 1.00497133e-02 1.03488913e-02
1.04010660e-02 1.04185160e-02 1.04798217e-02 1.05712618e-02
1.06134138e-02 1.06275018e-02 1.06345528e-02 1.06416085e-02
1.06698781e-02 1.07124233e-02 1.07266427e-02 1.07408810e-02
1.07765594e-02 1.07765594e-02 1.08770909e-02 1.08915288e-02
1.08987550e-02 1.09059860e-02 1.09277077e-02 1.09567373e-02
1.10077248e-02 1.10077248e-02 1.10736289e-02 1.10956845e-02
1.11030461e-02 1.11621153e-02 1.11621153e-02 1.11917676e-02
1.12438488e-02 1.12438488e-02 1.12587736e-02 1.12662434e-02
1.13186712e-02 1.13487394e-02 1.13939915e-02 1.14166852e-02
1.14546085e-02 1.14546085e-02 1.15155480e-02 1.15614652e-02
1.16075656e-02 1.16152668e-02 1.16384013e-02 1.16461230e-02
1.16538498e-02 1.16693188e-02 1.17547663e-02 1.17938126e-02
1.19830480e-02 1.19909983e-02 1.20788012e-02 1.21672471e-02
1.21672471e-02 1.21995695e-02 1.21995695e-02 1.22157630e-02
1.24117687e-02 1.24447407e-02 1.24447407e-02 1.24612595e-02
1.24860789e-02 1.25026526e-02 1.26192863e-02 1.26528096e-02
1.26612043e-02 1.27032616e-02 1.27962800e-02 1.27962800e-02
1.28302734e-02 1.28387859e-02 1.29585552e-02 1.29585552e-02
1.30707698e-02 1.32893056e-02 1.32981226e-02 1.33688697e-02
1.33777395e-02 1.35204595e-02 1.36647021e-02 1.37556342e-02
1.38379902e-02 1.38839565e-02 1.38839565e-02 1.39670809e-02
1.39856204e-02 1.41442036e-02 1.42666853e-02 1.43045849e-02
1.43235725e-02 1.43902276e-02 1.44667848e-02 1.45148398e-02
1.45437493e-02 1.45920599e-02 1.46308239e-02 1.46308239e-02
1.46989089e-02 1.46989089e-02 1.48360307e-02 1.48853122e-02
1.51233294e-02 1.51874417e-02 1.52887391e-02 1.53442768e-02
1.53814139e-02 1.54093258e-02 1.54559581e-02 1.55308635e-02
1.55402521e-02 1.56250059e-02 1.56817651e-02 1.56912450e-02
1.57959027e-02 1.58150063e-02 1.58245667e-02 1.58820508e-02
1.59108711e-02 1.59686687e-02 1.60266763e-02 1.60557590e-02
1.61726187e-02 1.61921779e-02 1.63989825e-02 1.64287409e-02
1.64784582e-02 1.64884197e-02 1.64884197e-02 1.65083608e-02
1.66184685e-02 1.66889192e-02 1.67596685e-02 1.69020681e-02
1.70148019e-02 1.71905075e-02 1.73890324e-02 1.77285861e-02
1.77607572e-02 1.77929867e-02 1.78145055e-02 1.79008413e-02
1.79333250e-02 1.79333250e-02 1.80966299e-02 1.81185159e-02
1.81294688e-02 1.81623674e-02 1.83277579e-02 1.84388542e-02
1.84946546e-02 1.85618380e-02 1.85730589e-02 1.86630710e-02
1.88786018e-02 1.91197172e-02 1.91775780e-02 1.91891712e-02
1.94695194e-02 1.95166407e-02 1.95166407e-02 1.96824651e-02
1.97181818e-02 1.97301018e-02 1.97420290e-02 1.98257213e-02
1.98616980e-02 2.00789332e-02 2.02128560e-02 2.02740249e-02
2.02985443e-02 2.03722805e-02 2.05205575e-02 2.06506823e-02
2.07066309e-02 2.07189739e-02 2.09424114e-02 2.13837943e-02
2.14987886e-02 2.15757948e-02 2.16144013e-02 2.19257505e-02
2.19780763e-02 2.20305270e-02 2.20699471e-02 2.22415845e-02
2.22813823e-02 2.23611917e-02 2.25485271e-02 2.26697849e-02
2.27645471e-02 2.28460872e-02 2.28869666e-02 2.30364861e-02
2.30495456e-02 2.30495456e-02 2.30756868e-02 2.31542884e-02
2.32595071e-02 2.33255115e-02 2.34182324e-02 2.35780409e-02
2.36047814e-02 2.37254898e-02 2.44905577e-02 2.46018487e-02
2.46996432e-02 2.48822941e-02 2.50520934e-02 2.51516777e-02
2.51659363e-02 2.53951763e-02 2.54239777e-02 2.54672411e-02
2.56265044e-02 2.57137947e-02 2.57867638e-02 2.58306445e-02
2.59774537e-02 2.59774537e-02 2.60069155e-02 2.61250973e-02
2.61695538e-02 2.61843894e-02 2.62884746e-02 2.64528737e-02
2.66333909e-02 2.66635966e-02 2.69369944e-02 2.73523564e-02
2.77426594e-02 2.80589079e-02 2.80911693e-02 2.81249499e-02
2.81587711e-02 2.85506507e-02 2.85849838e-02 2.88958459e-02
2.99027209e-02 3.01191249e-02 3.01734701e-02 3.02097547e-02
3.07038893e-02 3.09446805e-02 3.09632810e-02 3.13941902e-02
3.18119747e-02 3.20807276e-02 3.21579303e-02 3.27429038e-02
3.29600501e-02 3.32185350e-02 3.46456235e-02 3.54245445e-02
3.57667762e-02 3.61992188e-02 3.67471321e-02 3.79590938e-02
3.82797786e-02 3.84180430e-02 3.86495943e-02 3.86976757e-02
3.88191603e-02 3.88191603e-02 3.95561189e-02 3.95809237e-02
3.98048678e-02 3.99548674e-02 4.04082661e-02 4.09180794e-02
4.11753930e-02 4.16948847e-02 4.17471930e-02 4.34561611e-02
4.34561611e-02 4.36746434e-02 4.46434923e-02 4.49242332e-02
4.55480931e-02 4.56910834e-02 4.58345226e-02 4.62965610e-02
4.67632570e-02 4.71754736e-02 4.75614990e-02 4.91990934e-02
5.06384795e-02 5.09888739e-02 5.10848561e-02 5.13738880e-02
5.32427838e-02 5.34769357e-02 5.55038117e-02 5.83557094e-02
5.99172328e-02 6.09401169e-02 6.15205406e-02 6.38980466e-02
6.39413267e-02 6.79130301e-02 6.90256622e-02 7.03944407e-02
7.16932091e-02 7.33131782e-02 7.39613527e-02 7.52239926e-02
7.70801571e-02 7.87530785e-02 7.89005046e-02 8.07416132e-02
8.15510159e-02 8.25741890e-02 8.50824871e-02 8.56145636e-02
8.58818484e-02 8.83803564e-02 8.85458048e-02 8.90440107e-02
8.98805910e-02 9.31899867e-02 9.34226620e-02 9.67417800e-02
9.96183139e-02 1.00053991e-01 1.02388707e-01 1.05236145e-01
1.05630519e-01 1.11072583e-01 1.13251811e-01 1.14031116e-01
1.14684631e-01 1.15144319e-01 1.15605850e-01 1.16069230e-01
1.27255001e-01 1.28791364e-01 1.39041200e-01 1.42663155e-01
1.54503139e-01 1.55451849e-01 1.56269665e-01 1.56406385e-01
1.62328917e-01 1.67081831e-01 1.73484444e-01 1.82910365e-01
1.86813490e-01 1.88217100e-01 1.88588221e-01 2.03658780e-01
2.18916126e-01 2.26075728e-01 2.29569297e-01 2.35809647e-01
2.44001880e-01 2.45379014e-01 2.53696727e-01 2.54026439e-01
2.92712299e-01 3.11178933e-01 3.25501567e-01 3.28755549e-01
3.30472978e-01 3.50017967e-01 3.59098450e-01 3.66040926e-01
3.83711622e-01 3.98491438e-01 4.32269684e-01 4.43532497e-01
4.70444602e-01 5.01225556e-01 5.16234099e-01 5.21118026e-01
5.68069522e-01 6.30880897e-01 6.36739187e-01 6.98896707e-01
7.44336141e-01 7.49118509e-01 8.01996302e-01 8.28825166e-01
8.58015300e-01 9.43029406e-01 9.67280735e-01 9.95125008e-01
1.14335255e+00 1.75020734e+00 1.86716471e+00 5.16641385e+00
1.10962622e+01 6.66700000e+06 6.66700000e+06 6.66700000e+06
6.66700000e+06 6.66700000e+06 6.66700000e+06] mJy at 2.159 micron -> Flux: [1.54701431e-03 1.57898997e-03 1.62020939e-03 1.62143808e-03
1.62636229e-03 1.68281398e-03 1.71763304e-03 1.73597357e-03
1.74654275e-03 1.75851096e-03 1.78811728e-03 1.79083366e-03
1.80996561e-03 1.83208417e-03 1.86153057e-03 1.88142719e-03
1.88428708e-03 1.88715137e-03 1.89289318e-03 1.90009532e-03
1.90442990e-03 1.90442990e-03 1.92918228e-03 1.95277602e-03
1.95723226e-03 1.97216083e-03 1.97516034e-03 1.97516034e-03
1.97816448e-03 1.98267935e-03 1.98871540e-03 2.00084335e-03
2.00693537e-03 2.02224767e-03 2.03612980e-03 2.09103890e-03
2.10060125e-03 2.10379853e-03 2.11502782e-03 2.13183778e-03
2.13969071e-03 2.14231483e-03 2.14362811e-03 2.14494219e-03
2.15020666e-03 2.15812779e-03 2.16077470e-03 2.16342487e-03
2.17006465e-03 2.17006465e-03 2.18876550e-03 2.19145027e-03
2.19279390e-03 2.19413836e-03 2.19817673e-03 2.20357288e-03
2.21304828e-03 2.21304828e-03 2.22529129e-03 2.22938745e-03
2.23075452e-03 2.24172155e-03 2.24172155e-03 2.24722542e-03
2.25688999e-03 2.25688999e-03 2.25965898e-03 2.26104476e-03
2.27076922e-03 2.27634496e-03 2.28473446e-03 2.28894088e-03
2.29596894e-03 2.29596894e-03 2.30725909e-03 2.31576340e-03
2.32429930e-03 2.32572502e-03 2.33000750e-03 2.33143676e-03
2.33286690e-03 2.33572983e-03 2.35153937e-03 2.35876112e-03
2.39373787e-03 2.39520653e-03 2.41142176e-03 2.42774761e-03
2.42774761e-03 2.43371186e-03 2.43371186e-03 2.43669952e-03
2.47284099e-03 2.47891688e-03 2.47891688e-03 2.48196045e-03
2.48653288e-03 2.48958588e-03 2.51106291e-03 2.51723342e-03
2.51877844e-03 2.52651785e-03 2.54362901e-03 2.54362901e-03
2.54988016e-03 2.55144537e-03 2.57346015e-03 2.57346015e-03
2.59407380e-03 2.63418422e-03 2.63580158e-03 2.64877646e-03
2.65040284e-03 2.67656216e-03 2.70298163e-03 2.71962707e-03
2.73469625e-03 2.74310434e-03 2.74310434e-03 2.75830459e-03
2.76169394e-03 2.79067329e-03 2.81304053e-03 2.81995903e-03
2.82342471e-03 2.83558840e-03 2.84955443e-03 2.85831837e-03
2.86358976e-03 2.87239719e-03 2.87946278e-03 2.87946278e-03
2.89186972e-03 2.89186972e-03 2.91684542e-03 2.92581788e-03
2.96927209e-03 2.98101491e-03 2.99956238e-03 3.00972807e-03
3.01652445e-03 3.02163186e-03 3.03016356e-03 3.04386471e-03
3.04558173e-03 3.06107883e-03 3.07145429e-03 3.07318696e-03
3.09231145e-03 3.09580147e-03 3.09754797e-03 3.10804778e-03
3.11331111e-03 3.12386468e-03 3.13445424e-03 3.13976256e-03
3.16108642e-03 3.16465453e-03 3.20236525e-03 3.20778928e-03
3.21684987e-03 3.21866507e-03 3.21866507e-03 3.22229858e-03
3.24235673e-03 3.25518635e-03 3.26806705e-03 3.29398249e-03
3.31448957e-03 3.34643526e-03 3.38250597e-03 3.44414298e-03
3.44997907e-03 3.45582510e-03 3.45972799e-03 3.47538395e-03
3.48127329e-03 3.48127329e-03 3.51087093e-03 3.51483636e-03
3.51682077e-03 3.52278075e-03 3.55273340e-03 3.57284404e-03
3.58294226e-03 3.59509804e-03 3.59712803e-03 3.61340953e-03
3.65237583e-03 3.69593586e-03 3.70638409e-03 3.70847730e-03
3.75907263e-03 3.76757244e-03 3.76757244e-03 3.79747432e-03
3.80391286e-03 3.80606148e-03 3.80821132e-03 3.82329444e-03
3.82977702e-03 3.86890533e-03 3.89301479e-03 3.90402354e-03
3.90843580e-03 3.92170271e-03 3.94837258e-03 3.97197406e-03
3.98190208e-03 3.98406997e-03 4.02329660e-03 4.10069181e-03
4.12083556e-03 4.13432026e-03 4.14107933e-03 4.19555552e-03
4.20470506e-03 4.21387477e-03 4.22076531e-03 4.25075616e-03
4.25770766e-03 4.27164515e-03 4.30434556e-03 4.32550075e-03
4.34202741e-03 4.35624391e-03 4.36336979e-03 4.38942497e-03
4.39170010e-03 4.39170010e-03 4.39625393e-03 4.40994408e-03
4.42826467e-03 4.43975407e-03 4.45588988e-03 4.48368928e-03
4.48833952e-03 4.50932602e-03 4.64215568e-03 4.66145150e-03
4.67840183e-03 4.71004644e-03 4.73944882e-03 4.75668579e-03
4.75915338e-03 4.79881124e-03 4.80379189e-03 4.81127268e-03
4.83880307e-03 4.85388669e-03 4.86649267e-03 4.87407213e-03
4.89942326e-03 4.89942326e-03 4.90450945e-03 4.92490763e-03
4.93257903e-03 4.93513885e-03 4.95309519e-03 4.98144579e-03
5.01256077e-03 5.01776566e-03 5.06485613e-03 5.13633054e-03
5.20341909e-03 5.25772694e-03 5.26325468e-03 5.26900958e-03
5.27477084e-03 5.34148554e-03 5.34732703e-03 5.40019237e-03
5.57111560e-03 5.60779163e-03 5.61699877e-03 5.62314535e-03
5.70679377e-03 5.74751705e-03 5.75066176e-03 5.82347288e-03
5.89399139e-03 5.93931619e-03 5.95233081e-03 6.05086501e-03
6.08740645e-03 6.13087986e-03 6.37042691e-03 6.50084911e-03
6.55808167e-03 6.63033999e-03 6.72179702e-03 6.92372519e-03
6.97707171e-03 7.00006164e-03 7.03854864e-03 7.04642662e-03
7.06625921e-03 7.06625921e-03 7.18645275e-03 7.19049482e-03
7.22697764e-03 7.25140404e-03 7.32518820e-03 7.40806650e-03
7.44986260e-03 7.53417562e-03 7.54266010e-03 7.81935559e-03
7.81935559e-03 7.85466070e-03 8.01103626e-03 8.05629368e-03
8.15677716e-03 8.17979145e-03 8.20287175e-03 8.27717455e-03
8.35216162e-03 8.41834163e-03 8.48027174e-03 8.74251706e-03
8.97240546e-03 9.02828316e-03 9.04358382e-03 9.08964410e-03
9.38694770e-03 9.42413366e-03 9.73948202e-03 1.01787140e-02
1.04183186e-02 1.05749437e-02 1.06637055e-02 1.10264539e-02
1.10330452e-02 1.16361334e-02 1.18044717e-02 1.20112118e-02
1.22070262e-02 1.24508001e-02 1.25481952e-02 1.27376913e-02
1.30157244e-02 1.32564846e-02 1.32775181e-02 1.35398195e-02
1.36549197e-02 1.38002347e-02 1.41556231e-02 1.42308584e-02
1.42686326e-02 1.46211081e-02 1.46444092e-02 1.47145454e-02
1.48322194e-02 1.52965481e-02 1.53291248e-02 1.57928767e-02
1.61933860e-02 1.62539364e-02 1.65779326e-02 1.69720061e-02
1.70264948e-02 1.77501344e-02 1.80320324e-02 1.81326799e-02
1.82170172e-02 1.82763059e-02 1.83358034e-02 1.83955104e-02
1.98284117e-02 2.00240211e-02 2.13221972e-02 2.17782325e-02
2.32181045e-02 2.33284949e-02 2.34235917e-02 2.34394841e-02
2.41263997e-02 2.46755729e-02 2.54125586e-02 2.64920071e-02
2.69339546e-02 2.70902461e-02 2.71315490e-02 2.88021709e-02
3.04841287e-02 3.12811106e-02 3.16769541e-02 3.24077115e-02
3.33634075e-02 3.35237119e-02 3.44900788e-02 3.45283211e-02
3.90277055e-02 4.11882570e-02 4.28677460e-02 4.32484531e-02
4.34492626e-02 4.57456814e-02 4.68098570e-02 4.76217056e-02
4.97111799e-02 5.14592824e-02 5.54615463e-02 5.67941541e-02
5.99973614e-02 6.36701575e-02 6.54734596e-02 6.60597416e-02
7.17236655e-02 7.93391316e-02 8.00530111e-02 8.76398415e-02
9.32034433e-02 9.37922049e-02 1.00335182e-01 1.03658599e-01
1.07309319e-01 1.18000355e-01 1.21062007e-01 1.24598346e-01
1.43742180e-01 2.32355761e-01 2.50126099e-01 7.14572980e-01
1.55716970e+00 nan nan nan
nan nan nan] mJy at 7.7 micron
Simulated stars in blue, sources found in green.
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.scatter(catalog_matched['xcentroid'], F770W_ABmag, color='blue', label='Simulated stars')
ax.scatter(catalog_matched['xcentroid'], catalog_matched['aper_total_abmag'], color='green', label='Sources found')
ax.legend()
plt.xlabel('X position in pixels')
plt.ylabel('AB mag')
Text(0, 0.5, 'AB mag')
Found catalog minus matched simulated AB mag vs. x position and vs. y position, with the median magnitude difference plotted as a horizontal line in red.
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.set_ylim(-1,1)
ax.scatter(catalog_matched['xcentroid'], F770W_ABmag-catalog_matched['aper_total_abmag'], color='blue')
#ax.legend()
plt.title('ABmag difference (simulated - found) vs. x position')
plt.xlabel('X position in pixels')
plt.ylabel('Delta AB mag')
ok = np.logical_and(F770W_ABmag>0, F770W_ABmag<100)
m = F770W_ABmag[ok]-catalog_matched['aper_total_abmag'][ok]
np.median(m)
plt.hlines(np.median(m), min(catalog_matched['xcentroid']), max(catalog_matched['xcentroid']), color='red')
<matplotlib.collections.LineCollection at 0x7f8e52cfcb50>
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.set_ylim(-1,1)
ax.scatter(catalog_matched['ycentroid'], F770W_ABmag-catalog_matched['aper_total_abmag'], color='blue')
#ax.legend()
plt.title('ABmag difference (simulated - found) vs. y position')
plt.xlabel('Y position in pixels')
plt.ylabel('Delta AB mag')
ok = np.logical_and(F770W_ABmag>0, F770W_ABmag<100)
m = F770W_ABmag[ok]-catalog_matched['aper_total_abmag'][ok]
np.median(m)
plt.hlines(np.median(m), min(catalog_matched['ycentroid']), max(catalog_matched['ycentroid']), color='red')
<matplotlib.collections.LineCollection at 0x7f8e5309a550>
Median difference marked by line in red.
fig = plt.figure(figsize=(10, 10))
ax = plt.subplot()
ax.set_ylim(-1,1)
ax.scatter(F770W_ABmag, F770W_ABmag-catalog_matched['aper_total_abmag'], color='blue')
#ax.legend()
plt.title('Difference in AB mag (simulated-found) vs. ABmag (simulated)')
plt.xlabel('AB mag')
plt.ylabel('Delta AB mag')
ok = np.logical_and(F770W_ABmag>0, F770W_ABmag<100)
m = F770W_ABmag[ok]-catalog_matched['aper_total_abmag'][ok]
np.median(m)
plt.hlines(np.median(m), 16, 24.5, color='red')
<matplotlib.collections.LineCollection at 0x7f8e53068880>
Look at the matched image to see what sources were matched between the simulated and found catalogs and see if there is a pattern to which 'found' sources were not matched to the simulated catalog. Are they mostly galaxies or were the found sources in areas of confusion between two stars or sources where the source finding algorithm might not have pinpointed the actual centroid of the source. If the majority of the sources matched seem to be the stars that are clearly marked and properly found, that part of the test passes.
If the plots showing magnitudes of the matched sources show that they're close (exact criteria for 'close' TBD), then that test passes.
This test is mostly visual inspection of the images and plots. As long as nothing is obviously wrong (no columns in the table marked as all NaNs, sources found seem to be real sources, and a good number of them match the simulated sources input into the image), then this test passes.
Authors: M. Cracraft, M. Libralato and T. Temim, MIRI Branch
Updated On: 08/18/2021